Analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene

Yan Tang; Weidong Yang; Ge Zhao; Lamei Zou

doi:10.1117/12.2032381

26 October 2013 Analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene

Yan Tang, Weidong Yang, Ge Zhao, Lamei Zou

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170F (2013) https://doi.org/10.1117/12.2032381
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Yan Tang, Weidong Yang, Ge Zhao, and Lamei Zou "Analysis and evaluation for the robustness of feature detection algorithm in medium-wave infrared scene", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170F (26 October 2013); https://doi.org/10.1117/12.2032381

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