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

Abstract

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.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab., Richland, WA (United States)
Sponsoring Org.:
Department of Defense, Washington, DC (United States)
OSTI Identifier:
595638
Report Number(s):
PNNL-11871
R&D Project: 27768; ON: DE98052820; TRN: AHC29810%%16
DOE Contract Number:  
AC06-76RL01830
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Apr 1998
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; LAND RESOURCES; REMOTE SENSING; WASHINGTON; MILITARY FACILITIES; DATA; DATA PROCESSING; CLASSIFICATION

Citation Formats

Steinmaus, K.L., Perry, E.M., Petrie, G.M., Irwin, D.E., Foote, H.P., Wurstner, S.K., and Stephen, A.J. Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington. United States: N. p., 1998. Web. doi:10.2172/595638.
Steinmaus, K.L., Perry, E.M., Petrie, G.M., Irwin, D.E., Foote, H.P., Wurstner, S.K., & Stephen, A.J. Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington. United States. doi:10.2172/595638.
Steinmaus, K.L., Perry, E.M., Petrie, G.M., Irwin, D.E., Foote, H.P., Wurstner, S.K., and Stephen, A.J. Wed . "Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington". United States. doi:10.2172/595638. https://www.osti.gov/servlets/purl/595638.
@article{osti_595638,
title = {Hyperspectral landcover classification for the Yakima Training Center, Yakima, Washington},
author = {Steinmaus, K.L. and Perry, E.M. and Petrie, G.M. and Irwin, D.E. and Foote, H.P. and Wurstner, S.K. and Stephen, A.J.},
abstractNote = {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.},
doi = {10.2172/595638},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 01 00:00:00 EST 1998},
month = {Wed Apr 01 00:00:00 EST 1998}
}

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