A new method for aircraft detection and orientation estimation in remote sensing

Yi Fu; Weidong Yang; Xiao Liu

doi:10.1117/12.2204859

14 December 2015 A new method for aircraft detection and orientation estimation in remote sensing

Yi Fu, Weidong Yang, Xiao Liu

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120H (2015) https://doi.org/10.1117/12.2204859
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Automatic targets recognition(ATR) of artificial objects in high resolution remote sensing images can be divided into two categories by the properties of targets. The first such building, a harbor which has fixed location and stable out looking. The other one, for example aircraft, whose location and posture is sensitive to the moment. Due to the variable sizes, colors, orientations, and complex background, aircraft detection is a difficult task in high resolution remote sensing images. In this paper, a simple and effective aircraft detection method with a single template is proposed, which exactly locates the object by outputting its geometric center, location and orientation. Compare to traditional method,this method only needs critical feature in the local areas of target and a binary template of aircraft. Compare to traditional Feature + Classifier method, it’s easy, simple and don’t need outline training,but also get high precision and low false rate in the same complicate background.

Citation Download Citation

Yi Fu, Weidong Yang, and Xiao Liu "A new method for aircraft detection and orientation estimation in remote sensing", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120H (14 December 2015); https://doi.org/10.1117/12.2204859

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KEYWORDS

Feature extraction

Target recognition

Remote sensing

Target detection

Image processing

Statistical modeling

Image segmentation

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