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Proceedings Paper

Target detection method by airborne and spaceborne images fusion based on past images
Author(s): Shanjing Chen; Qing Kang; Zhenggang Wang; ZhiQiang Shen; Huan Pu; Hao Han; Zhongzheng Gu
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Paper Abstract

To solve the problem that remote sensing target detection method has low utilization rate of past remote sensing data on target area, and can not recognize camouflage target accurately, a target detection method by airborne and spaceborne images fusion based on past images is proposed in this paper. The target area's past of space remote sensing image is taken as background. The airborne and spaceborne remote sensing data is fused and target feature is extracted by the means of airborne and spaceborne images registration, target change feature extraction, background noise suppression and artificial target feature extraction based on real-time aerial optical remote sensing image. Finally, the support vector machine is used to detect and recognize the target on feature fusion data. The experimental results have established that the proposed method combines the target area change feature of airborne and spaceborne remote sensing images with target detection algorithm, and obtains fine detection and recognition effect on camouflage and non-camouflage targets.

Paper Details

Date Published: 15 November 2017
PDF: 11 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106052L (15 November 2017); doi: 10.1117/12.2293925
Show Author Affiliations
Shanjing Chen, Logistical Engineering Univ. (China)
Qing Kang, Logistical Engineering Univ. (China)
Zhenggang Wang, Logistical Engineering Univ. (China)
ZhiQiang Shen, Logistical Engineering Univ. (China)
Huan Pu, Logistical Engineering Univ. (China)
Hao Han, Logistical Engineering Univ. (China)
Zhongzheng Gu, Air Force Engineering Univ. (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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