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Proceedings Paper

Analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene
Author(s): Yan Tang; Weidong Yang; Ge Zhao; Lamei Zou
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Paper Abstract

Target recognition in natural scenes generally uses the remote sensing image preparation for the matching feature template. Image match system finds correspondence between real image and remote sensing image and then output the target position parameters to the aircraft. How to quantitative analysis and evaluate the robustness of the infrared features, and to determine the available features in infrared image matching recognition algorithm is one of the keys of the ground target recognition in complex scenes. In this paper, we built a feature robustness evaluation model for typical match identifying by analyzing for the robustness of features extracted from typical terrains and targets in various condition. Combined with France
SE-Workbench-IR simulation platform, we designed a special scene simulation development process, in case of lack of terrain generation module, it also can generate MWIR natural scene image. By analyzing the simulation image and real-time image in the same condition, we can gain the variation information from infrared radiation characteristic in different natural condition. Finally, we verify and assess the robustness of the matching features.

Paper Details

Date Published: 26 October 2013
PDF: 8 pages
Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170F (26 October 2013); doi: 10.1117/12.2032381
Show Author Affiliations
Yan Tang, Huazhong Univ. of Science and Technology (China)
Weidong Yang, Huazhong Univ. of Science and Technology (China)
Ge Zhao, Beijing High-Tech Institute (China)
Lamei Zou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8917:
MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jianguo Liu, Editor(s)

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