Investigation of context, soft spatial, and spatial frequency domain features for buried explosive hazard detection in FL-LWIR-Reference-Cited by-同舟云学术

Investigation of context, soft spatial, and spatial frequency domain features for buried explosive hazard detection in FL-LWIR

Published:2014-05-29 Issue: Volume: Page:
ISSN:0277-786X
Container-title:Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX
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Author:

Price Stanton R.,Anderson Derek T.,Stone Kevin,Keller James M.

Publisher

SPIE

Reference30 articles.

1. “The Beam,” 2013. http://www.un.org/en/terrorism/ctitf/pdfs/The%20Beam%20Vol%207.pdf.

2. Automatic detection system for buried explosive hazards in fl-lwir based on soft feature extraction using a bank of gabor energy filters;Price,2013

3. Algorithm fusion in forward-looking long-wave infrared imagery for buried explosive hazard detection;Anderson,2011

4. Combination of Anomaly Algorithms and Image Features for Explosive Hazard Detection in Forward Looking Infrared Imagery

5. Detection of targets in forward-looking infrared imaging using a multiple instance learning framework;Popescu,2011

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