Spectral Linear Mixing Model
Mostrando 1-7 de 7 artigos, teses e dissertações.
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1. Monitoramento da zona superficial de neve úmida da Península Antártica pelo uso de dados dos sensores SMMR e SSM/I
Special Sensor Microwave-Imager (SSM/I) EASE-grid data and classified ASAR wideswath (WS) images, covering the Antarctic Peninsula (AP), were processed and used in a Spectral Linear Mixing Model (SLMM) for a subpixel analysis of the Wet Snow Zone (WSZ) in SSM/I images. The components¿ proportions (fraction images) of the endmembers in the study area, namely
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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2. Detecção de mudanças a partir de imagens de fração
Land cover change detection is a major goal in multitemporal remote sensing applications. It is well known that images acquired on different dates tend to be highly influenced by radiometric differences and registration problems. Using fraction images, obtained from the linear model of spectral mixing (LMSM), radiometric problems can be minimized and the int
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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3. Estimativa de áreas queimadas com produtos modis como subsídio à estimativa de emissões de gases de efeito estufa pela queima de biomassa na Amazônia e Cerrado Brasileiros / Burned area estimation using MODIS fire products as a subsidy for greenhouse gases emissions estimation due biomass burning in the Brazilian Amazon and Cerrado.
At present, the estimates of parameters used in global emissions models are based on low and moderate spatial resolution satellite data, and even though those was an advanced since the rising of the first orbital platforms, it is still necessary to reduce the uncertainty of these estimates. This improvement depends basically, on the capacity of the scientifi
Publicado em: 2009
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4. Avaliação do modelo 5-scale para simular valores de reflectância de unidades de paisagem da floresta nacional do Tapajós / Evaluation of 5-scale model to simulate reflectance values of landscape units of Tapajós national forest
The increased pressure over natural resources makes efficient planning of its use necessary, as well as monitoring and restraining inadequate and/or illegal practices. For this, remote sensing allied with several specialized areas is presented as an excellent tool. However one of the great challenges of remote sensing is to equate the problem that similar ta
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/05/2006
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5. Avaliação do modelo 5-scale para simular valores de reflectância de unidades de paisagem da floresta nacional do Tapajós / Evaluation of 5-scale model to simulate reflectance values of landscape units of Tapajós national forest
O aumento da pressão sobre os recursos naturais faz com que seja necessário realizar um planejamento eficiente sobre sua utilização, bem como fiscalizar e coibir práticas inadequadas e/ou ilegais. Para isto o sensoriamento remoto aliado as mais diversas áreas apresenta-se como uma ferramenta de excelência. Mas um dos grandes desafios do sensoriamento
Publicado em: 2006
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6. Characterization of vegetation physiognomies in earstern Amazonon region through airbone videography and landsat 7 ETM + images / Caracterização de fisionomias vegetais na Amazônia Oriental através de videografia aerotransportada e imagens landsat 7 ETM+
Transformation of multispectral remote sensing data is needed for compression of data volume and for the inference of biophysical properties of the land cover. Linear Spectral Mixing Models (LSMM) and Normalized Difference Vegetation Index (NDVI) are transformations that result in indicators of vegetation structure. However these methods present limitations
Publicado em: 2003
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7. Use of features derives from class proportions in a pixel for the multispectral classification of remote sensing images / Utilização de atributos derivados de proporções de classes dentro de um elemento de resolução de imagem ("pixel")na classificação multiespectral de imagens de sensoriamento remoto
The spectral energy collected by the Remote Sensing instrumentation is the integration, called mixture, of the energy reflected or emmited by the objects, called primary components of the mixture, contained in a picture element. The land use classes in a scene can be described in terms of these components proportions, specially for forest targets. The object
Publicado em: 1991