Target detection in a forest environment using spectral imagery

Richard Chris Olsen; Steve Bergman; Ronald G. Resmini

doi:10.1117/12.283842

31 October 1997 Target detection in a forest environment using spectral imagery

Richard Chris Olsen, Steve Bergman, Ronald G. Resmini

Proceedings Volume 3118, Imaging Spectrometry III; (1997) https://doi.org/10.1117/12.283842
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Spectral imagery from the HYDICE instrument was analyzed for the purpose of target detection and identification. Data in the 0.4-2.5 micron wavelength range were acquired during the FOREST RADIANCE data collect. Data were analyzed from an area consisting of grassy fields and forest areas. A variety of targets were deployed in the field, with ground truth spectral measurements made. Analysis of reflectance data utilizing 'ground truth' and 'in-scene' spectra was conducted. The former suffered somewhat from inaccuracies in calibration, but training on subsets of the data allowed for relatively successful detection and classification in the remainder of the data. Spectral angle mapper and matched filter techniques were used. Both were successful in locating targets, but the later seemed to suffer more from 'false positives', though this may have been a function of thresholds set in the classification process.

Citation Download Citation

Richard Chris Olsen, Steve Bergman, and Ronald G. Resmini "Target detection in a forest environment using spectral imagery", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.283842

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