Robust automatic target recognition in second generation FLIR images

被引：4
|
作者：
Nair, D
Aggarwal, JK
机构：
来源：
THIRD IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION - WACV '96, PROCEEDINGS | 1996年
关键词：
D O I：
10.1109/ACV.1996.572055
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper ve present a system for the detection and recognition of targets in second generation Forward Looking InfraRed (FLIR) images. The system uses new algorithms for target detection and segmentation of the targets. Recognition is based on a methodology for target recognition by parts. A diffusion based approach for determining the parts of a target is also presented here. Experimental results on a large database of FLIR images validate the robustness of the system, and its applicability to FLIR imagery obtained from real scenes.
引用
收藏
页码：194 / 201
页数：8
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