Special Section on High-Performance Computing in Applied Remote Sensing

Micro-Doppler effect analysis and feature extraction in inverse synthetic aperture imaging LADAR imaging

[+] Author Affiliations
Jin He

Institution of Telecommunication Engineering, AFEU, Xi'an, 710077, China

Qun Zhang

Institution of Telecommunication Engineering, AFEU, Xi'an, 710077, China

Fudan University, Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education), Shanghai, 200433, China

Ying Luo, Xianjiao Liang, Xiaoyou Yang

Institution of Telecommunication Engineering, AFEU, Xi'an, 710077, China

J. Appl. Remote Sens. 5(1), 051502 (November 18, 2011). doi:10.1117/1.3652706
History: Received November 20, 2010; Revised July 16, 2011; Accepted September 27, 2011; Published November 18, 2011; Online November 18, 2011
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The micro-Doppler (m-D) effect describes the subtle micromotion features of a radar target and provides a new approach for feature extraction and auto radar target recognition. However, the microwave radar cannot provide enough resolution to detect the m-D effect of small targets and long distance targets. In order to obtain high range resolution for the extraction of subtle m-D signatures, inverse synthetic aperture imaging LADAR (ISAIL) is used here. Because the ISAIL uses a frequency modulation continuous wave signal, the m-D effect of ISAIL is different from the microwave radar. In this paper, the m-D effect of ISAIL is analyzed. The features of the m-D signatures in ISAIL are extracted by an improved Hough transform method associated with erosion and dilation operations in binary mathematical morphology. The simulations are given to validate the theoretical analyses and the proposed m-D extraction method. The experiment results show that the ISAIL can offer sufficient information of micromotions when the feature of motions is tiny.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Jin He ; Qun Zhang ; Ying Luo ; Xianjiao Liang and Xiaoyou Yang
"Micro-Doppler effect analysis and feature extraction in inverse synthetic aperture imaging LADAR imaging", J. Appl. Remote Sens. 5(1), 051502 (November 18, 2011). ; http://dx.doi.org/10.1117/1.3652706


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