Collaborative Research: Multisensor Approach Mapping of 2D and 3D Geologic Features from Remotely Sensed Imagery
Final rept. 1 Jul 1998-31 Oct 2004
TEXAS UNIV AT AUSTIN CENTER FOR SPACE RESEARCH
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The goal of this research project was to develop, implement, and evaluate computational methods for extracting information from multiple sources of remotely sensed data for thematic and topographic mapping of geologic features. The research focused on three primary areas Integration of multisource topographic information in a multiresolution framework Development of supervised classification methods for multi spectral and hyperspectral data. Extraction of topographic features from multiple return LIDAR data acquired from airborne platforms. The project focused on the first two problems during the original three year study, which was augmented to conduct a two year intensive study of LIDAR and hyperspectral data for coastal mapping applications Summary descriptions of the methodologies and example results are provided.
- Cartography and Aerial Photography
- Infrared Detection and Detectors