The objective is to use spectral image data to determine the identity of materials present in the image. In order to accomplish material identification, material-specific spectral signatures need to be developed, as do algorithms that exploit those signatures. The performance of the algorithms and signatures will be tested against real data collected at multiple altitudes and locations, calibrated to reflectance using different techniques. Spectral signatures will be derived for the targets that were deployed at various test using the HYDICE sensor. These signatures are used to detect and locate those targets in the data sets. The false alarm performance of the algorithms and signatures provides evidence for the uniqueness of those signatures. Similar false alarm performance between the calibration techniques demonstrates the ability to create robust spectral signatures without using a priori information on any material in the image for calibration. This has implications for a)hyperspectral sensor that have pixels with a large GSD and do not facilitate the use of calibration panels, b) collection scenarios where calibration panels cannot be deployed, and c) data exploitation.

Date Published: 31 October 1997
PDF: 8 pages
Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283833

Published in SPIE Proceedings Vol. 3118:
Imaging Spectrometry III
Michael R. Descour; Sylvia S. Shen, Editor(s)