Computer Science Department
School of Computer Science, Carnegie Mellon University
Preliminary Results on the Analysis of HYDICE Data for Information Fusion in Cartographic Feature Extraction
Stephen J. Ford, Dirk Kalp, J. Chris McGlone, David M. McKeown, Jr.
This paper was presented at the SPIE Conference on "Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III", April 21-23, 1997, held in Orlando, Florida. An identical text version, without color figures, appears in the Proceedings of the Conference, SPIE Volume 3072.
This paper discusses our efforts in registering HYDICE imagery, utilizing HYDICE hyperspectral imagery for surface material/land cover classification and merging this information in a common geographic framework with individual datasets or outputs of our cartographic feature extraction systems. Test areas selected from the Fort Hood image and cartographic dataset will illustrate this process flow.