Single frame shadow segmentation based on image enhancement for video SAR

Yiming Xu; Dongsheng Li; Jushi Tang

doi:10.1117/12.2604767

6 August 2021 Single frame shadow segmentation based on image enhancement for video SAR

Yiming Xu, Dongsheng Li, Jushi Tang

Proceedings Volume 11913, Sixth International Workshop on Pattern Recognition; 1191306 (2021) https://doi.org/10.1117/12.2604767
Event: Sixth International Workshop on Pattern Recognition, 2021, Chengdu, China

Abstract

As Video synthetic aperture radar (SAR) technology has been developing rapidly in recent years, moving target detection and tracking has gradually become a research hotspot in the field of SAR. Since moving targets in Video SAR produce relatively clear shadows at their real locations, the shadow-based approach provides a new method for ground moving target detection. In this paper, a new approach based on image fusion enhancement is proposed to improve the extraction effect of target shadow in single frame Video SAR image, and the process of shadow segmentation is studied accordingly. First, we use Median Filter to denoise the image, and then use a variety of image enhancement methods to improve the contrast between shadows and background, including piecewise linear stretching, histogram specification, and S-curve enhancement, then use adaptive threshold segmentation algorithm to realize the separation of background and target shadow, finally use morphological processing method to further highlight the target shadow. The effectiveness of the proposed approach is verified on the Video SAR dataset published by Sandia Lab.

Citation Download Citation

Yiming Xu, Dongsheng Li, and Jushi Tang "Single frame shadow segmentation based on image enhancement for video SAR", Proc. SPIE 11913, Sixth International Workshop on Pattern Recognition, 1191306 (6 August 2021); https://doi.org/10.1117/12.2604767

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KEYWORDS

Image enhancement

Image segmentation

Synthetic aperture radar

Target detection

Video

Image fusion

Image processing

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