Abstract

Finding out interested targets from synthetic aperture radar (SAR) imagery is an attractive but challenging problem in SAR application. Traditional target detection is independent on SAR imaging process, which is purposeless and unnecessary. Hence, a new SAR processing approach for simultaneous target detection and image formation is proposed in this paper. This approach is based on SAR imagery formation in time domain and human visual saliency detection. First, a series of sub-aperture SAR images with resolutions from low to high are generated by the time domain SAR imaging method. Then, those multiresolution SAR images are detected by the visual saliency processing, and the corresponding intermediate saliency maps are obtained. The saliency maps are accumulated until the result with a sufficient confidence level. After some screening operations, the target regions on the imaging scene are located, and only these regions are focused with full aperture integration. Finally, we can get the SAR imagery with high-resolution detected target regions but low-resolution clutter background. Experimental results have shown the superiority of the proposed approach for simultaneous target detection and image formation.

Highlights

  • Synthetic aperture radar (SAR) can obtain high-resolution microwave images, with day or night operation capability [1,2,3]

  • We propose a new SAR processing approach which can simultaneously carry out target detection and image formation

  • A novel SAR processing approach is proposed for simultaneous target detection and image formation

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Summary

Introduction

Synthetic aperture radar (SAR) can obtain high-resolution microwave images, with day or night operation capability [1,2,3]. It is scarcely affected by the atmospheric and weather conditions. People are interested in imaging processing and interpretation or recognition of the real-world targets from radar imagery [6,7,8,9,10]. As an important stage in SAR ATR system, detection of the real-world targets from SAR imagery is one of the most challenging research directions in SAR application [11].

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