SPECTRICAL MIXTURE: (I) MEMBERS DETECTION FINALS USING SIMPLEX GEOMETRY
DOI:
https://doi.org/10.26512/2236-56562003e39718Keywords:
spectral mixture, simplex, endmembersAbstract
The spectral mixture concepts allowed a new approach in the image classification procedures. This procedure searches to identify and to quantify the constituents that compose the pixels. Thus it is necessary to establish three processing stages: (a) endmembers detection, (b) elements location and (c) quantification. The present work has as objective to discuss and to synthesize the main approaches to endmembers detection using simplex geometry. For this, it was defined three simplex types: (a) simplex of minimum volume (b) maximum volume and (c) intermediate volume. Each model is discussed focusing on its importance to the establishment of the endmembers.
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