Hyperspectral remote sensing image end member extraction method on basis of revised extended morphological operator
A technology of hyperspectral remote sensing and end element extraction, which is applied in the fields of hyperspectral remote sensing digital image processing and pattern recognition, and can solve the problem of cross replacement, limited ability of separation of pure pixels and mixed pixels, and influence on the precision mixing of final element extraction. Problems such as the effect of pixel unmixing
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[0036] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:
[0037] The hardware environment that is used for implementing is: Pentium-43.0G computer, 1G memory, 128M graphics card; The software environment of operation is: Window XP operating system, has realized the method that the present invention proposes with IDL7.0 programming language in conjunction with ENVI.
[0038] 1. For an N-dimensional spectral vector f(x, y) in a hyperspectral remote sensing image, where N is the number of bands, the extended morphological operator gives the sorting rules in the SE (Structure Element):
[0039] D SUM [ f ( x , y ) , SE ] = D SUM [ f ( x , y ...
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