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Proceedings Paper

A fast target detection and imaging method for compressive sensing Earth observation
Author(s): Chuanrong Li; Qi Wang; Changyong Cao; Xi Shao; Lingling Ma; Yongsheng Zhou; Shi Qiu; Jianjian Li
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Paper Abstract

The compressive sensing imaging technique, based on the realization of random measurement via active or passive devices (e.g., DMD), has attracted more and more attention. For imaging target of interest within large uniform scene (e.g., ships in the sea), high-resolution image was usually reconstructed and then used to detect targets, however the process is time-consuming, and moreover only part of the image consists of the targets of interest. In this paper, the stepwise multi-resolution fast target detection and imaging method through the combination of different numbers of DMD mirrors was explored. Low resolution image for larger area target searching and successively higher resolution image for smaller area containing the targets were reconstructed. Also, non-imaging fast target detection was realized based on the detector energy intensity, which includes the steps of rough target positioning by successively opening DMD blocks and accurate target positioning by adjusting the rough areas via intelligent search algorithm. Simulation experiments were carried out to compare the proposed method with traditional method. The result shows the area of the ships are accurately positioned without reconstructing the image by the proposed method and the multi-level scale imaging for suspect areas is realized. Compared with traditional target detection method from the reconstructed image, the proposed method not only highly enhances the measuring and reconstruction efficiency but also improves the positioning accuracy, which would be more significant for large area scene.

Paper Details

Date Published: 23 May 2014
PDF: 9 pages
Proc. SPIE 9109, Compressive Sensing III, 91090T (23 May 2014); doi: 10.1117/12.2050253
Show Author Affiliations
Chuanrong Li, Academy of Opto-Electronics (China)
Qi Wang, Academy of Opto-Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Changyong Cao, NOAA-NESDIS Ctr. for Satellite Application and Research (United States)
Xi Shao, Univ. of Maryland, College Park (United States)
Lingling Ma, Academy of Opto-Electronics (China)
Yongsheng Zhou, Academy of Opto-Electronics (China)
Shi Qiu, Univ. of Maryland, College Park (United States)
Jianjian Li, Academy of Opto-Electronics (China)
Univ. of Chinese Academy of Sciences (China)
NOAA-NESDIS Ctr. for Satellite Application and Research (United States)


Published in SPIE Proceedings Vol. 9109:
Compressive Sensing III
Fauzia Ahmad, Editor(s)

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