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SPECTRAL UNMIXING ANALYSIS OF TIME SERIES LANDSAT 8 IMAGES
Time series Landsat 8 image Endmember Estimation K-P-Means Purified Pixels Spectral Unmixing
2018/5/17
Temporal analysis of Landsat 8 images opens up new opportunities in the unmixing procedure. Although spectral analysis of time series Landsat imagery has its own advantage, it has rarely been studied....
GEOLOGICAL MAPPING BY COMBINING SPECTRAL UNMIXING AND CLUSTER ANALYSIS FOR HYPERSPECTRAL DATA
Geology Mineral Unmixing Cluster Analysis Hyperspectral Cuprite
2016/11/30
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
TARGETING LIMESTONE AND BAUXITE DEPOSITS IN SOUTHERN INDIA BY SPECTRAL UNMIXING OF HYPERSPECTRAL IMAGE DATA
Hyperspectral ASTER Spectral unmixing End-member spectra limestone bauxite exploration
2015/12/29
This paper presents a study about the potential of spectral unmixing of hyperspectral satellite image data for targeting and quantification of mineral content in limestone and bauxite rich areas in so...
ADVANCES IN HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION AND SPECTRAL UNMIXING
hyperspectral image fusion super-resolution spectral unmixing endmembers processing techniques
2015/9/21
In this work, we jointly process high spectral and high geometric resolution images and exploit their synergies to (a) generate a fused image of high spectral and geometric resolution; and (b) improve...
USING LINEAR SPECTRAL UNMIXING OF HIGH SPATIAL RESOLUTION AND HYPERSPECTRAL DATA FOR GEOMETRIC-OPTICAL MODELLING
Linear spectral mixing model EO-1 Hyperion QuickBird
2015/9/8
The linear spectral mixing model is a widely used technique in remote sensing to estimate the fractions of several individual surface
components present in an image pixel and the pure reflectance spe...
SPECTRAL UNMIXING OF LOW RESOLUTION IMAGES FOR MONITORING SOIL SEALING
Sub-pixel classification Spectral Mixture Analysis Impervious surfaces Endmember selection SPOTVEGETATION
2015/8/3
The expansion of urban areas has a negative impact on the environment. The increase of impervious or sealed surfaces is directly proportional to this expansion. The estimation of sealed surfaces has o...
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...
SPECTRAL UNMIXING FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES
Spectral Unmixing Hyperspectral Sub-pixel Classification Least Squares Unmixing Matched Filter Unmixing Maximum Noise Fraction Transformation Remote Sensing
2015/2/4
Spectral mixing is inherent in any finite-resolution digital imagery of a heterogeneous surface, so that mixed pixels are
inevitably created when multispectral images are scanned. Solving the spectra...
SPECTRAL UNMIXING OF BLENDED REFLECTANCE FOR DENSER TIME-SERIES MAPPING OF WETLANDS
Classification Environment Generation Land cover Landsat Multiresolution Multispectral Multitemporal
2014/4/30
The orbiting cycle and frequent cloud contamination have limited the applications of the moderate-resolution remotely sensed data for detecting rapid land cover changes that are critical to the monito...
SPATIAL INTERPOLATION AS A TOOL FOR SPECTRAL UNMIXING OF REMOTELY SENSED IMAGES
Land Cover Mapping Analysis Algorithms Image Spectral
2014/4/29
Super resolution-based spectral unmixing (SRSU) is a recently developed method for spectral unmixing of remotely sensed imagery, but it is too complex to implement for common users who are interested ...