Simple models for complex natural surfaces - A strategy for the hyperspectral era of remote sensingA two-step strategy for analyzing multispectral images is described. In the first step, the analyst decomposes the signal from each pixel (as expressed by the radiance or reflectance values in each channel) into components that are contributed by spectrally distinct materials on the ground, and those that are due to atmospheric effects, instrumental effects, and other factors, such as illumination. In the second step, the isolated signals from the materials on the ground are selectively edited, and recombined to form various unit maps that are interpretable within the framework of field units. The approach has been tested on multispectral images of a variety of natural land surfaces ranging from hyperarid deserts to tropical rain forests. Data were analyzed from Landsat MSS (multispectral scanner) and TM (Thematic Mapper), the airborne NS001 TM simulator, Viking Lander and Orbiter, AIS, and AVRIS (Airborne Visible and Infrared Imaging Spectrometer).
Document ID
19910030857
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Adams, John B. (Washington Univ. Seattle, WA, United States)
Smith, Milton O. (Washington Univ. Seattle, WA, United States)
Gillespie, Alan R. (Washington, University Seattle, United States)