Spatial/spectral Identification of Endmembers from Aviris Data Using Mathematical Morphology
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چکیده
During the last several years, a number of airborne and satellite hyperspectral sensors have been developed or improved for remote sensing applications (Green, 1988-2000; Vane et al., 1993; Kruse & Boardman, 1999). Imaging spectrometry allows the detection of materials, objects and regions in a particular scene with a high degree of accuracy. Hyperspectral data typically consist of hundreds of thousands of spectra, so the analysis of this information is a key issue (Landgrebe, 1997).
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تاریخ انتشار 2001