A method of evolving novel feature extraction algorithms for detecting buried objects in FLIR imagery using genetic programming-Reference-Cited by-同舟云学术

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A method of evolving novel feature extraction algorithms for detecting buried objects in FLIR imagery using genetic programming

Published:2014-06-09 Issue: Volume: Page:
ISSN:0277-786X
Container-title:Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX
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Author:

Paino A.,Keller J.,Popescu M.,Stone K.

Publisher

SPIE

Reference9 articles.

1. Experimental Evaluation of FLIR ATR Approaches—A Comparative Study

2. Forward Looking Anomaly Detection via Fusion of Infrared and Color Imagery;Stone,2010

3. Yu Y., Guo L., “Infrared Small Moving Target Detection Using Facet Model and Particle Filter”, Proc of 2008 Congress on Image and Signal Processing, pp. 206–210.

4. Temperature and emissivity separation from multispectral thermal infrared observations

5. Assessment of Techniques for Airborne Infrared Land Mine Detection;Winter,1997

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced buried UXO detection via GPR/EMI data fusion;Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI;2016-05-03

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