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ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L1 SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION
Hyperspectral Imagery Nonnegative Matrix Factorization Multilayer Nonnegative Matrix Factorization Sparsity Constraint Endmember Extraction
2018/5/11
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endm...
VEGETATION ENDMEMBER EXTRACTION IN HYPERION IMAGES
Hyperspectral imaging Endmember Extraction Hyperion Images
2015/12/31
Hyperspectral imaging sensors on environmental applications have high spectral resolution and low spatial resolution so that numerous disparate substances can contribute to the spectrum measured from ...
AN IMPROVED ENDMEMBER EXTRACTION ALGORITHM BY INVERSING LINEAR MIXING MODEL
Hyperspectral Remote Sensing Spectral Indices Image Understanding Simulation Extrapolation
2015/12/31
In hyperspectral imagery there are some cases when no pure pixels present due to the limitation of the sensors' space resolution and the complexity of the ground components, and then the endmembers ex...
Endmember extraction algorithms from hyperspectral images
endmember extraction hyperspectral mixtures linear spectral unmixing
2015/9/7
During the last years, several high-resolution sensors have been developed for hyperspectral remote sensing applications.Some of these sensors are already available on space-borne devices. Space-borne...
QUANTIFYING THE ECOLOGICAL PATTERNS OF URBAN DENSIFICATION THROUGH MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS, LANDSCAPE METRICS, AND FUZZY LOGIC
Sustainability Urban Change MESMA Fuzzy Logic Landscape Metrics Los Angeles
2015/7/29
This paper introduces an integrative methodology that has been developed to measure temporal changes in urban morphology based
on the techniques of multiple endmember spectral mixture analysis (MESM...
IMPROVING LINEAR SPECTRAL UNMIXING THROUGH LOCAL ENDMEMBER DETECTION
Hyperspectral Data Set Local Linear Spectral Unmixing (LLSU) Maximum Likelihood Classification (MLC)
2015/4/1
There are a considerable number of mixed pixels in remotely sensed images. Different sub-pixel analyses have been recently developed correspondingly. A well-known method is linear spectral unmixing wh...
UNMIXING OF MIXTURE PIXEL BASED ON THE CHROMATIC CHARACTERISTICS OF ENDMEMBER SPECTRA
Mixture Pixel Unmixing Imaging Spectrometer Chromatic Characteristics
2015/2/3
Unmixing of mixture pixel is a means of determining the relative abundances of materials depicted in hyperspectral
imagery based on the materials’ spectral characteristics. In linear spectral unmixin...
ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS
remote sensing images segmentation watershed transform normalized cut
2014/6/5
Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an
improved endmember extraction method with spatial preprocessing mo...