Geometric structure feature extraction of ship target in high-resolution SAR image

Yan Xing; Xiang Qiu

doi:10.1117/12.2623148

1 December 2021 Geometric structure feature extraction of ship target in high-resolution SAR image

Yan Xing, Xiang Qiu

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 120792R (2021) https://doi.org/10.1117/12.2623148
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

Geometric structure feature is the most intuitive feature of ship in SAR image, and it’s important basis for ship Automatic Target Recognition in SAR image. Minimum Bounding Rectangle (MBR) extraction is the basis of obtaining ship geometric structure feature in SAR images. Generally, there is an angle between ship target and SAR image azimuth, so ship orientation estimation is the premise of exactly extracting the MBR. In this paper, the Target Pixel Statistical Method is used to extract the ship's principal axis is proposed, the accurate orientation of the ship target is determined by using the optimal correlation coefficient , and the ship slice perpendicular to the azimuth is obtained after image rotation. Then, the target length and width threshold coefficients are set to determine the MBR of the ship. The experimental results show that for higher length commercial ships, this method has high accuracy and good stability.

Citation Download Citation

Yan Xing and Xiang Qiu "Geometric structure feature extraction of ship target in high-resolution SAR image", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 120792R (1 December 2021); https://doi.org/10.1117/12.2623148

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