Analysis of HYDICE data for information fusion in cartographic feature extraction

Late in 1995 the authors organized a hyperspectral data acquisition using the Naval Research Laboratory´s Hyperspectral Digital Imagery Collection Experiment sensor system over Fort Hood, Texas. This acquisition resulted in hyperspectral data with a nominal 2 meter ground sample distance collected with 210 spectral samples per pixel. This paper describes current quantitative classification results for man-made and natural materials using 14 surface material classes over selected test areas within Fort Hood. The authors discuss the issues encountered in radiometric effects due to changing solar illumination and atmospheric conditions during the acquisition. They also describe their approach to image registration and geopositioning, using a full photogrammetric block adjustment solution