Title :
The impact of viewing geometry on material discriminability in hyperspectral images
Author :
Suen, Pei-hsiu ; Healey, Glenn ; Slater, David
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
fDate :
7/1/2001 12:00:00 AM
Abstract :
An increase in the off-nadir viewing angle for an airborne visible/near-infrared through short-wave infrared (VNIR/SWIR) imaging spectrometer leads to a decrease in upward atmospheric transmittance and an increase in line-of-sight scattered path radiance. These effects combine to reduce the spectral contrast between different materials in the sensed signal. The authors analyze the impact of viewing angle on material discriminability for 237 materials over a wide range of conditions. Material discriminability is quantified using a statistical algorithm that employs a subspace model to represent the set of spectra for a material as conditions vary. The authors show that reliable material discrimination is possible over a range of conditions even for large off-nadir viewing angles. They illustrate the performance of material identification over different viewing angles using simulated forest and desert hyperspectral digital imagery collection experiment (HYDICE) images
Keywords :
geophysical signal processing; geophysical techniques; image processing; multidimensional signal processing; remote sensing; terrain mapping; HYDICE; SWIR; VNIR; airborne method; desert; forest; geophysical measurement technique; hyperspectral digital imagery collection experiment; hyperspectral image; infrared remote sensing; land surface; material discriminability; multispectral remote sensing; off-nadir viewing angle; optical imaging; statistical algorithm; subspace model; terrain mapping; viewing angle; viewing geometry; visible region; Digital images; Geometry; Hyperspectral imaging; Hyperspectral sensors; Infrared imaging; Infrared spectra; Materials reliability; Optical imaging; Scattering; Spectroscopy;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on