Improvement of a mineral discrimination method using multispectral image and surrounding hyperspectral image

Hyperspectral (HS) images are highly accurate for mineral discrimination, but available areas limited. For this reason, several methods have been proposed to extend the map of overlap region between HS and multispectral (MS) surrounding area with no image. One such method, by Hirai Tonooka, discriminates minerals using MS obtaining endmembers from positions endmember pixels in region. While method (referred as HT method) has advantage being less susceptible spectral distortions images, it also problem reduced accuracy due misalignment images. We an improved that reduces effects above problems incorporating a process improves robustness against searching best pixel around position determines more optimum threshold value each angle mapper used method. As result evaluation AVIRIS image World View-3 at Cuprite, Nevada, overall 2.6% compared original case were misaligned, decreased 7.0%, while only 1.5%. These results indicate can perform expected.