Target detection in a forest environment using spectral imagery

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 latter seemed to suffer more from "false positives", though this may have been a function of thresholds set in the classification process.