Página 1 dos resultados de 4993 itens digitais encontrados em 0.013 segundos

Sensoriamento remoto laboratorial na detecção de alterações químicas no solo pela aplicação de corretivos; Laboratory remote sensing on soil chemical alteration by lime application

Araújo, Suzana Romeiro
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 29/01/2009 PT
Relevância na Pesquisa
66.52%
O conhecimento detalhado da distribuição espacial dos solos e principalmente seus atributos torna-se essencial com a implantação da Agricultura de Precisão. Neste sentido, há a demanda por um grande número de análises químicas de solos. Porém, o custo destas análises é elevado, sendo um dos principais entraves para a avaliação da variabilidade espacial dos solos, tanto na área de manejo químico como em levantamentos pedológicos. Logo, o sensoriamento remoto surge como uma técnica alternativa e eficaz na obtenção de informações sobre a variabilidade espacial dos solos e de seus atributos químicos, físicos e mineralógicos nos diferentes tipos de aquisição de dados, mostrando-se promissor não só pela sua rapidez, mas também por ser uma técnica não destrutiva das amostras e livre de qualquer reagente químico. Desta forma, este trabalho tem por objetivos avaliar através de métodos convencionais de análise de terra e de sensoriamento remoto, as variações químicas ocorrentes em dois tipos de solos cultivados com milho, pela aplicação de corretivos com diferentes graus de reatividade. Além disso, este trabalho visa identificar bandas espectrais relacionadas com as mudanças químicas ocorridas no solo devido à aplicação de calcário...

Processamento de dados de imagem multiespectral aplicado à geobotânica por sensoriamento remoto: uma abordagem para áreas cobertas por Floresta Atlântica da planície costeira; Processing of multispectral image data applied to Geobotanica by remote sensing: an approach to areas covered by Atlantic Forest coastal plain

Pacheco, Rodrigo da Cunha
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 09/06/2009 PT
Relevância na Pesquisa
66.54%
A presente pesquisa teve como objetivo geral contribuir com a temática da geobotânica por sensoriamento remoto em áreas de florestas tropicais, a partir de um estudo de caso. Considerando que o processamento digital de imagens de sensoriamento remoto é constituído por três etapas principais: pré-processamento, realce de imagens e classificação de imagens, foram testados alguns procedimentos metodológicos que permitissem a abordagem da geobotânica a partir do sensoriamento remoto em áreas cobertas por Floresta Atlântica da planície costeira. A princípio, o alvo era testar o método sistêmico desenvolvido por Almeida (2005) sobre a área do Parque Estadual Campina do Encantado (PECE). Contudo, verificou-se que o mesmo se restringia a etapa de realce espectral. Assim, testou-se paralelamente uma complementação, adicionando procedimentos referentes ao pré-processamento e à etapa de classificação digital. Na etapa de pré-processamento foi feita a conversão dos valores de níveis de cinza das imagens para valores de reflectância de superfície. Na etapa de realce espectral, a proposta foi aplicar os procedimentos definidos por Almeida (2005), tanto sobre as imagens com valores de reflectância de superfície, quanto sobre as imagens com os valores dos pixels em níveis de cinza. As técnicas que compõe originalmente o método sistêmico aplicadas na imagens são respectivamente: razão de bandas...

Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area

Steffens, Juliana; Da Costa, Renata F.; Landulfo, Eduardo; Guardani, Roberto; F.moreira, Paulo; Held, Gerhard
Fonte: Universidade Estadual Paulista Publicador: Universidade Estadual Paulista
Tipo: Conferência ou Objeto de Conferência
ENG
Relevância na Pesquisa
66.62%
Optical remote sensing techniques have obvious advantages for monitoring gas and aerosol emissions, since they enable the operation over large distances, far from hostile environments, and fast processing of the measured signal. In this study two remote sensing devices, namely a Lidar (Light Detection and Ranging) for monitoring the vertical profile of backscattered light intensity, and a Sodar (Acoustic Radar, Sound Detection and Ranging) for monitoring the vertical profile of the wind vector were operated during specific periods. The acquired data were processed and compared with data of air quality obtained from ground level monitoring stations, in order to verify the possibility of using the remote sensing techniques to monitor industrial emissions. The campaigns were carried out in the area of the Environmental Research Center (Cepema) of the University of São Paulo, in the city of Cubatão, Brazil, a large industrial site, where numerous different industries are located, including an oil refinery, a steel plant, as well as fertilizer, cement and chemical/petrochemical plants. The local environmental problems caused by the industrial activities are aggravated by the climate and topography of the site, unfavorable to pollutant dispersion. Results of a campaign are presented for a 24- hour period...

Hierarquização de aplicações do sensoriamento remoto no setor sucroenergético, por meio de sistema de análise de decisão multicritério (AHP Analytic Hierarchy Process); Hierarquization of remote sensing application in sugar cane sector, through multiciteria decision analysis system (AHP - Analytic Hierarchy Process)

Pedro Henrique Quariguasy Soares
Fonte: Biblioteca Digital da Unicamp Publicador: Biblioteca Digital da Unicamp
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 30/08/2012 PT
Relevância na Pesquisa
66.7%
Atualmente o Sensoriamento Remoto tem avançado a sua utilização em diversos segmentos da sociedade acadêmica e empresarial, assim como, das iniciativas públicas e privadas, haja vista a quantidades de satélites já em órbita e os lançamentos contínuos dos mais diversos tipos de sensores remotos. Diversas nações têm como objetivo a independência geoespacial, seja por questões de segurança nacional ou estratégias de política de desenvolvimento econômico, razão pelo qual os vultosos valores investidos em inovação e tecnologias geoespaciais. Neste sentido, podemos citar inúmeras aplicações do sensoriamento remoto, como subsídio ao planejamento de políticas públicas de uso e ocupação terrestre, fiscalização governamental de fronteiras, planejamento ambiental, mapeamentos e análises de cobertura, análise da dinâmica espaço-temporal de uso e ocupação de solos, de florestas, de agricultura, dentre os mais diversos. Em relação às questões das aplicações do sensoriamento remoto na agricultura, vale ressaltar a importância do segmento sucroenergético nacional como fonte de diversas riquezas, como a produção de açúcar, etanol, bioeletricidade e derivados, e ainda contribuindo com uma matriz energética renovável. Desta forma...

Semi-automatic classification of remote sensing images = : Classificação semi-automática de imagens de sensorimento remoto; Classificação semi-automática de imagens de sensorimento remoto

Jefersson Alex dos Santos
Fonte: Biblioteca Digital da Unicamp Publicador: Biblioteca Digital da Unicamp
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 25/03/2013 PT
Relevância na Pesquisa
66.63%
Um grande esforço tem sido feito para desenvolver sistemas de classificação de imagens capazes de criar mapas temáticos de alta qualidade e estabelecer inventários precisos sobre o uso do solo. As peculiaridades das imagens de sensoriamento remoto (ISR), combinados com os desafios tradicionais de classificação de imagens, tornam a classificação de ISRs uma tarefa difícil. Grande parte dos desafios de pesquisa estão relacionados à escala de representação dos dados e, ao mesmo tempo, à dimensão e à representatividade do conjunto de treinamento utilizado. O principal foco desse trabalho está nos problemas relacionados à representação dos dados e à extração de características. O objetivo é desenvolver soluções efetivas para classificação interativa de imagens de sensoriamento remoto. Esse objetivo foi alcançado a partir do desenvolvimento de quatro linhas de pesquisa. A primeira linha de pesquisa está relacionada ao fato de embora descritores de imagens propostos na literatura obterem bons resultados em várias aplicações, muitos deles nunca foram usados para classificação de imagens de sensoriamento remoto. Nessa tese, foram testados doze descritores que codificam propriedades espectrais e sete descritores de textura. Também foi proposta uma metodologia baseada no classificador K-Vizinhos mais Próximos (K-nearest neighbors - KNN) para avaliação de descritores no contexto de classificação. Os descritores Joint Auto-Correlogram (JAC)...

Nearly 20 years of satellite remote sensing at CGE

Costa, Maria João; Salgueiro, Vanda; Potes, Miguel; Couto, Flavio; Santos, Dina; Bortoli, Daniele; Silva, Ana Maria; Antón, Manuel; Mateus, Carlos; Salgado, Rui; Morais, Manuela
Fonte: Universidade de Évora Publicador: Universidade de Évora
Tipo: Parte de Livro
ENG
Relevância na Pesquisa
66.57%
The first steps in satellite remote sensing at CGE were made in 1993, in the first years in close cooperation with the Remote Sensing Division of the Institute of Meteorology. The interest in the study of the atmospheric and surface properties using satellite images was first introduced in CGE by Ana Maria Silva and as a first year Master student, the first author here willingly accepted the challenge of developing her Master thesis on this unknown but rather appealing subject. Since then satellite remote sensing has greatly evolved with the launch of satellites with improved capabilities. CGE has taken advantage of these advancements to explore new methodologies applied not only to the atmospheric characterization, but also to land and water surfaces. Since the beginning of the 2000s the research group contributing to the development of satellite remote sensing at CGE has increased, including several eager students.

Distributed processing of large remote sensing images using MapReduce - A case of Edge Detection

Tesfamariam, Ermias Beyene
Fonte: Universidade Nova de Lisboa Publicador: Universidade Nova de Lisboa
Tipo: Dissertação de Mestrado
Publicado em 07/02/2011 ENG
Relevância na Pesquisa
66.63%
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.; Advances in sensor technology and their ever increasing repositories of the collected data are revolutionizing the mechanisms remotely sensed data are collected, stored and processed. This exponential growth of data archives and the increasing user’s demand for real-and near-real time remote sensing data products has pressurized remote sensing service providers to deliver the required services. The remote sensing community has recognized the challenge in processing large and complex satellite datasets to derive customized products. To address this high demand in computational resources, several efforts have been made in the past few years towards incorporation of high-performance computing models in remote sensing data collection, management and analysis. This study adds an impetus to these efforts by introducing the recent advancements in distributed computing technologies, MapReduce programming paradigm, to the area of remote sensing. The MapReduce model which is developed by Google Inc. encapsulates the efforts of distributed computing in a highly simplified single library. This simple but powerful programming model can provide us distributed environment without having deep knowledge of parallel programming. This thesis presents a MapReduce based processing of large satellite images a use case scenario of edge detection methods. Deriving from the conceptual massive remote sensing image processing applications...

Modelling evapotranspiration by remote sensing parameters and agro-meteorological stations.

TEIXEIRA, A. H. de C.
Fonte: In: SYMPOSIUM OF THE REMOTE SENSING AND HYDROLOGY, 2010, Wyoming. Proceedings... Wallingford: International Association of Hydrological Sciences, 2012. Publicador: In: SYMPOSIUM OF THE REMOTE SENSING AND HYDROLOGY, 2010, Wyoming. Proceedings... Wallingford: International Association of Hydrological Sciences, 2012.
Tipo: Artigo em anais de congresso (ALICE) Formato: p. 154-157.
EN
Relevância na Pesquisa
86.45%
Field energy balances from irrigated and natural ecosystems, together with a net of agrometeorological stations, were used to develop a model for actual evapotranspiration (ET) quantification, based on the ratio of actual to reference evapotranspiration and the relation of this ratio to remote sensing parameters. The model was applied in the Brazilian semi-arid region to analyse the regional ET, making use of Landsat images and a geographic information system. After comparison against field results1 it showed good agreement, explaining 89% ofthe variances and a mean square error (RMSE) ofO.34 mm d .; 2012

Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system.

EBERHARDT, I. D. R.; MELO, M. P.; RIZZI, R.; FORMAGGIO, A. R.; ATZBERGER, C.; LUIZ, A. J. B.; FOSCHIERA, W.; SCHULTZ, B.; TRABAQUINI, K.; GOLTZ, E.
Fonte: In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2014, Quebec. Proceedings... Quebec: IEEE, 2014. p. 2126-2129. Publicador: In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2014, Quebec. Proceedings... Quebec: IEEE, 2014. p. 2126-2129.
Tipo: Artigo em anais de congresso (ALICE)
EN
Relevância na Pesquisa
86.45%
Abstract: Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This paper aims at evaluating clear sky conditions over four Brazilian states (Sa?o Paulo, Parana?, Santa Catarina, and Rio Grande do Sul) to assess suitable observation conditions for a monthly basis operational crop monitoring system. Cloudiness was analyzed using MODIS Cloud Mask product (MOD35), which presents four labels for cloud cover status: cloudy, uncertainty, probably clear and confident clear. R software was used to compute average values of clear sky with a confidence interval of 95% for each month between July 1st, 2000 and June 30th, 2013. Results showed significant differences within and between the four tested states. Moreover, the period from November to March presented 50% less clear sky areas when compared to April to October.; 2014

Remote sensing to monitor interactions between aquaculture and the environment of Spencer Gulf, South Australia.

Bierman, Paul Erich
Fonte: Universidade de Adelaide Publicador: Universidade de Adelaide
Tipo: Tese de Doutorado
Publicado em //2010
Relevância na Pesquisa
66.57%
The southern bluefin tuna (SBT) aquaculture industry is based in the coastal waters of southwest Spencer Gulf, east of Port Lincoln, South Australia. It is known that open-intensive aquaculture operations can impact upon the surrounding marine environment through increases in water column nutrients, due to waste released from uneaten food and fish excretions, which under suitable conditions can lead to increased phytoplankton growth. Aquaculture operations are also susceptible to a changing environment and are at risk from the effects of harmful algal blooms and other processes that can potentially be damaging to the industry. As a result, it is necessary that the marine environment surrounding the aquaculture is understood and monitored. In response to concerns expressed by both the aquaculture industry and government regulators to increase the understanding of the marine environment, the Cooperative Research Centre for the Sustainable Aquaculture of Finfish (Aquafin CRC) established a research program titled “Risk and Response – Understanding the Tuna Farming Environment”. This current project forms part of the Aquafin CRC‟s Risk and Response project to increase the understanding of the SBT aquaculture environment through application of satellite-based remote sensing imagery. Satellite-based imagery has the potential to measure concentrations of the photosynthetic pigment chlorophyll-a...

Satellite remote sensing to monitor land condition and dynamics in arid Australia: letting the landscape speak for itself.

Lawley, Evertje Frederika
Fonte: Universidade de Adelaide Publicador: Universidade de Adelaide
Tipo: Tese de Doutorado
Publicado em //2014
Relevância na Pesquisa
66.56%
The natural arid regions of Australia hold special value because their ecosystems are relatively intact. They play an important role in carbon cycling, provide ecosystem services, deliver benchmark information about ecosystem structure and function in unmodified landscapes, and are often the last stronghold of threatened species. Many of these regions are also homelands for Aboriginal traditional owners. These regions are under increasing external pressures from mining, tourism, localised grazing and invasive species. Careful management is needed to maintain their ecological values. Monitoring land condition is vital for management, but in extensive remote regions collecting field data to adequately represent land systems and processes is time consuming and costly. The high spatio-temporal variability of the arid landscape further confounds data interpretation. Long-term patterns of variability in vegetation response need to be understood to interpret management effects as distinct from natural variability. These long-term patterns cannot be understood from field data alone. In contrast, satellite-based monitoring offers potential monitoring solutions, with spatially comprehensive and consistent coverage over wide regions at relatively low cost. This overall aim of the research was to improve arid land condition monitoring through use of satellite remote sensing. Vegetation cover and soil exposure were used as indicators of land condition throughout the study. The study focused on the Alinytjara Wilurara (AW) Natural Resources Management (NRM) region in the far west of South Australia. This region is 261...

Application of GIS and remote sensing for water resource management in Arid area – Wadi Dahab Basin – South Eastern Sinai-Egypt (Case-study); Anwendung von GIS und Fernerkundung für die Bewirtschaftung der Wasserressourcen in Trockengebieten - Wadi Dahab Basin - Süd Ost Ägypten (Case-Study)

Omran, Adel Fouad Abdou
Fonte: Universidade de Tubinga Publicador: Universidade de Tubinga
Tipo: Dissertação
EN
Relevância na Pesquisa
66.57%
The present work is conducted to estimate the flood risks areas in W. Dahab and to design a suitable management system to control its huge runoff quantities. Hydrogeological and -chemical investigations are necessary in order to define the water pollution and manage the available water resources in the study area. Moreover, Maps indicating the natural water resources should be drawn to show the future review of these resources and setting of the suggested tools to manage water resources in the study area. Many of investigations have been done for reaching the aim of this work. Geologically, Wadi Dahab catchments are covered mainly from Precambrian to Cretaceous rocks and Wadi deposits cover the valley floors of the main streams. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been used for lithological mapping in the study area. Band ratio and supervised classification were employed for the classification and discrimination of different rock types. The density lineament map shows that the high density area is recorded at the basement area especially in the eastern and southern parts of Dahab basin, while the low density area is located in the northern part of study area. Based on the Aster Digital Elevation Model...

Review of the Main Remote Sensing Methods for Crop Area Estimates

GALLEGO PINILLA FRANCISCO
Fonte: International Society for Photogrammetry and Remote Sensing - ISPRS Publicador: International Society for Photogrammetry and Remote Sensing - ISPRS
Tipo: Contributions to Conferences Formato: Printed
ENG
Relevância na Pesquisa
66.63%
We analyse the different ways satellite images can be used for crop area estimation. We can group the methods into three categories: - Pixel counting or similar approaches, including sub-pixel analysis : Estimates coming essentially from remote sensing. Ground data have a secondary role: training data for image classification, or sub-pixel analysis. In general this type of approaches should not be used unless there is no reasonable alternative. The statistical justification for this type of methods is very weak and there is a very high risk that the final estimates come essentially from the a priori belief of the analyst. - Methods combining exhaustive but inaccurate information (from satellite images) with accurate information on a sample (most often ground surveys): Main types of methods in this category are regression, calibration and small area estimators. This is often the soundest way to use remote sensing for area estimation. - Satellite images are used as support to build area frame surveys: to define sampling units, for stratification; as graphic documents for the ground survey, or for quality control. Cost-efficiency is discussed: Operational use of remote sensing had reached the cost-efficiency threshold in some types of landscapes (large fields and few crop types) with Landsat TM images. New assessments are needed now for other image types. Some comments are made on the reason why many administrations are reluctant to integrate remote sensing in the production of area statistics. The specific experience of the MARS Project on area estimation is reported here with more detail on three activities: - Regional crop inventories (1988-1993)...

ISPRS Workshop Proceedings: Remote Sensing Support to Crop Yield Forecast and Area Estimates

Fonte: International Society for Photogrammetry and Remote Sensing Publicador: International Society for Photogrammetry and Remote Sensing
Tipo: Books Formato: Printed
ENG
Relevância na Pesquisa
66.63%
The workshop was held from the 30th of November until the 1st of December in Stresa (Italy) jointly organized by the Joint Research Centre, Institute for the Protection and Security of the Citizen, Agriculture Unit, MARS STAT action and the ISPRS working group VIII/10. Almost 80 participants from 25 countries came together under the workshop topic ¿remote sensing support to crop yield forecast and area estimates¿ to review the main use of remote sensing information for yield forecast and area estimates at national or regional level. The two days workshop shared national, GEOLAND FP 6 project and JRC experiences in the use of satellite data in crop monitoring. Reviewing the use of remote sensing for crop yield forecast, research in progress was presented as well as operational systems integrating remote sensing information for the yield forecasting using various sensors and approaches. The state of the art was presented for the estimation of crop area estimates from remote sensing as well as an assessment of remote sensing capabilities to achieve area estimates.; JRC.G.3-Agriculture

A review of regional science applications of satellite remote sensing in urban settings

Patino, J. E.; Duque, Juan C.
Fonte: Elsevier Sci Ltd Publicador: Elsevier Sci Ltd
Tipo: article; info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Art??culo; publishedVersion
ENG
Relevância na Pesquisa
66.63%
This paper reviews the potential applications of satellite remote sensing to regional science research in urban settings. Regional science is the study of social problems that have a spatial dimension. The availability of satellite remote sensing data has increased significantly in the last two decades, and these data constitute a useful data source for mapping the composition of urban settings and analyzing changes over time. The increasing spatial resolution of commercial satellite imagery has influenced the emergence of new research and applications of regional science in urban settlements because it is now possible to identify individual objects of the urban fabric. The most common applications found in the literature are the detection of urban deprivation hot spots, quality of life index assessment, urban growth analysis, house value estimation, urban population estimation and urban social vulnerability assessment. The satellite remote sensing imagery used in these applications has medium, high or very high spatial resolution, such as images from Landsat MSS, Landsat TM and ETM+, SPOT, ASTER, IRS, Ikonos and QuickBird. Consistent relationships between socio-economic variables derived from censuses and field surveys and proxy variables of vegetation coverage measured from satellite remote sensing data have been found in several cities in the US. Different approaches and techniques have been applied successfully around the world...

An integrated water quality modeling system with dynamic remote sensing feedback

Li, Yan
Fonte: Rochester Instituto de Tecnologia Publicador: Rochester Instituto de Tecnologia
Tipo: Dissertação
EN_US
Relevância na Pesquisa
66.59%
A coupled hydrodynamic-optical water quality modeling system based on Dynamic Data Driven Applications Systems (DDDAS) concepts that assimilates remote sensing data into a hydrodynamic model was developed and tested. The modeling system includes the hydrodynamic model (ALGE), a radiative transfer model (Hydrolight), and remote imagery (MODIS) as a dynamic feedback. The DDDAS was implemented through an Ensemble Kalman Filter (EnKF) with a small ensemble space. Large scale thermal structure and circulation patterns in Lake Ontario were simulated during the spring and summer seasons. High-resolution stream plume studies were performed in Conesus Lake and for the plume of the Niagara River in Lake Ontario. This work provided validation of the capabilities of the ALGE code to simulate the transport of sediment and passive tracer. Although the ALGE model produces predictions of the distribution of the TSS constituents, visual examination of MODIS 250 m reflectance data clearly shows discrepancies between themodel TSS output and the remote sensing data. These errors are due to the uncertainties in model physics, parameters, and forcing conditions. A Kalman filter-based method was implemented in this research to provide a better estimate of the modeled TSS. MODIS 250 m reflectance data was used as a dynamic feedback in EnKF. A test was performed at the single simulation grid point at the Genesee River mouth to validate the performance of the EnKF method. The EnKF estimate and the ensemble mean had similar and lower RMSE than any single run. Further validation was undertaken to examine the effects of assimilating MODIS data for all grid points to estimate the plume dissipation. Results show that the spatial filtering via an EnKF is capable of capturing the episodic nature of storm events by usingMODIS data as feedback. In this case the EnKF estimate RMSE is considerably smaller than the ensemble mean RMSE.

Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model validation and impact of polarization phenomenology on material discriminability

Devaraj, Chabitha
Fonte: Rochester Instituto de Tecnologia Publicador: Rochester Instituto de Tecnologia
Tipo: Dissertação
EN_US
Relevância na Pesquisa
66.6%
In addition to spectral information acquired by traditional multi/hyperspectral systems, passive electro optical and infrared (EO/IR) polarimetric sensors also measure the polarization response of different materials in the scene. Such an imaging modality can be useful in improving surface characterization; however, the characteristics of polarimetric systems have not been completely explored by the remote sensing community. Therefore, the main objective of this research was to advance our knowledge in polarimetric remote sensing by investigating the impact of polarization phenomenology on material discriminability. The first part of this research focuses on system validation, where the major goal was to assess the fidelity of the polarimetric images simulated using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. A theoretical framework, based on polarization vision models used for animal vision studies and industrial defect detection applications, was developed within which the major components of the polarimetric image chain were validated. In the second part of this research, a polarization physics based approach for improved material discriminability was proposed. This approach utilizes the angular variation in the polarization response to infer the physical characteristics of the observed surface by imaging the scene in three different view directions. The usefulness of the proposed approach in improving detection performance in the absence of apriori knowledge about the target geometry was demonstrated. Sensitivity analysis of the proposed system for different scene related parameters was performed to identify the imaging conditions under which the material discriminability is maximized. Furthermore...

Simulation of optical remote sensing systems

Kerekes, John; Landgrebe, David
Fonte: Institute of Electrical and Electronics Engineers (IEEE) Publicador: Institute of Electrical and Electronics Engineers (IEEE)
Tipo: Artigo de Revista Científica Formato: 1259941 bytes; application/pdf
EN_US
Relevância na Pesquisa
66.57%
Research on understanding the remote-sensing process as a system and investigating the interrelated effects of various parameter is described. A system model for the simulation of remote-sensing systems is presented. The system is divided into three parts: the scene, the sensor, and the processing algorithms. Models are presented and implemented for these component systems. Validation of the system model is considered over a specific test site. Results of the simulation for various scene and sensor configurations are included. Results of applying the model to various system configurations using simulated Landsat sensors are then presented to show how the simulation can be used to investigate the interrelated effects of system parameters.; ©1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases...

Remote sensing of hetergeneity in photosynthetic efficiency, electron transport and dissipation of excess light in Populus deltoides stands under ambient and elevated CO2 concentrations,and in a tropical forest canopy, using a new laser-induced fluorescence transient device

Ananyev, Gennady; Kolber, Zbigniew; Klimov, Dennis; Falkowski, Paul; Berry, Joseph; Rascher, Uwe; Martin, Robin; Osmond, C Barry
Fonte: Blackwell Publishing Ltd Publicador: Blackwell Publishing Ltd
Tipo: Artigo de Revista Científica
Relevância na Pesquisa
66.57%
Determining the spatial and temporal diversity of photosynthetic processes in forest canopies presents a challenge to the evaluation of biological feedbacks needed for improvement of carbon and climate models. Limited access with portable instrumentation, especially in the outer canopy, makes remote sensing of these processes a priority in experimental ecosystem and climate change research. Here, we describe the application of a new, active, chlorophyll fluorescence measurement system for remote sensing of light use efficiency, based on analysis of laser-induced fluorescence transients (LIFT). We used mature stands of Populus grown at ambient (380 ppm) and elevated CO2 (1220 ppm) in the enclosed agriforests of the Biosphere 2 Laboratory (B2L) to compare parameters of photosynthetic efficiency, photosynthetic electron transport, and dissipation of excess light measured by LIFT and by standard on-the-leaf saturating flash methods using a commercially available pulse-modulated chlorophyll fluorescence instrument (Mini-PAM). We also used LIFT to observe the diel courses of these parameters in leaves of two tropical forest dominants, Inga and Pterocarpus, growing in the enclosed model tropical forest of B2L. Midcanopy leaves of both trees showed the expected relationships among chlorophyll fluorescence-derived photosynthetic parameters in response to sun exposure...

Contextual superpixel description for remote sensing image classification.

VARGAS, J. E.; FALCÃO, A. X.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; ANTUNES, J. F. G.
Fonte: In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... Washington, DC: Institute of Electrical and Electronics Engineers, 2015. Publicador: In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... Washington, DC: Institute of Electrical and Electronics Engineers, 2015.
Tipo: Artigo em anais de congresso (ALICE) Formato: p. 1132-1135.
EN
Relevância na Pesquisa
86.52%
Abstract: The performance of pattern classifiers depends on the separability of the classes in the feature space - a property related to the quality of the descriptors - and the choice of informative training samples for user labeling - a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We introduce a new scheme for superpixel description based on Bag of visual Words, which includes information from adjacent superpixels, and validate it by using two remote sensing images and several region descriptors as baselines.; 2015; IGARSS 2015.