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We address the problem of unsupervised band reduction in hyperspectral remote sensing imagery. We propose the use of an information theoretic criterion to automatically separate the sensor's spectral range into disjoint subbands without ground truth knowledge. Our approach, named BandClust, preserves the physical sense of the spectral data and automatically provides relevant spectral subbands, i.e...
Reflectance spectra of hyperspectral images of the natural scenes are supposed to represent the real world better than any certain classes of natural and man-made spectral reflectance. The question is how the low-dimensional linear model which can be used to approximate Munsell reflectance samples will perform on spectral images and how many parameters are required? To answer these questions, in this...
Satellite remote sensing can detect earth surface features from space. The environmental factors impact on remote sensing data spectral signatures used to differentiate the alteration from surrounding mineralization rocks. Hydrothermal alteration as a geological record of spatial distribution has a fractal structure. In this paper, Henan Lushi Mo-Fe polymetallic mine as study area for the ETM + and...
In this paper, we investigate the use of the watershed transformation for integrating spatial and spectral information in the process of endmember extraction for spectral unmixing of hyperspectral images. The proposed approach is presented as a preprocessing module designed to automatically select a small subset of pixels containing potentially relevant candidates from both spatial and spectral point...
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