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Title: Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington

Technical Report ·
DOI:https://doi.org/10.2172/595638· OSTI ID:595638

The US Department of Energy`s (DOE`s) Pacific Northwest National Laboratory (PNNL) was tasked in FY97-98 to conduct a multisensor feature extraction project for the Terrain Modeling Project Office (TMPO) of the National Imagery and Mapping Agency (NIMA). The goal of this research is the development of near-autonomous methods to remotely classify and characterize regions of military interest, in support of the TMPO of NIMA. These methods exploit remotely sensed datasets including hyperspectral (HYDICE) imagery, near-infrared and thermal infrared (Daedalus 3600), radar, and terrain datasets. The study site for this project is the US Army`s Yakima Training Center (YTC), a 326,741-acre training area located near Yakima, Washington. Two study areas at the YTC were selected to conduct and demonstrate multisensor feature extraction, the 2-km x 2-km Cantonment Area and the 3-km x 3-km Choke Point area. Classification of the Cantonment area afforded a comparison of classification results at different scales.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
Department of Defense, Washington, DC (United States)
DOE Contract Number:
AC06-76RL01830
OSTI ID:
595638
Report Number(s):
PNNL-11871; R&D Project: 27768; ON: DE98052820; TRN: AHC29810%%16
Resource Relation:
Other Information: PBD: Apr 1998
Country of Publication:
United States
Language:
English