Feature discrimination using multiband classification techniques

Details Feature discrimination using multiband classification techniques Feature discrimination using multiband classification techniques

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..170i&link_type=abstract

Proc. SPIE Vol. 1567, p. 170-178, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

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Multiband synthetic aperture radar (SAR) is beginning to join the suite of spectral data sets available for feature discrimination and classification. For myriad practical applications, it is useful to quantify how well multiband SAR performs on its own, and how well it performs compared to and in conjunction with visual and infrared (IR) wavelength band sets. This paper examines these issues in the context of land use determination for a rural area in California's Central Valley, using multifrequency, multipolarization imagery from the NASA/JPL Airborne Imaging Radar (AIR). A supervised classification of the major terrain types is used to assess the performance of the AIR bands. Also, the best band combinations for feature discrimination are selected from a combined band set containing AIR, visual wavelength, and IR bands.

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