Ship target detection method for SAR image based on image block

In order to solve the problems of large amount of SAR image, large differences in target resolution, non-uniform sea clutter, and difficulty in real-time detection in orbit, an Algorithm for ship detection in spaceborne SAR image based on image segmentation is proposed. Firstly, the image is process...

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Bibliographic Details
Published in2023 9th International Conference on Computer and Communications (ICCC) pp. 2057 - 2061
Main Authors Dongjuan, Han, Qiang, Xue, Gang, Li, Aiwen, Liu, Feiyang, Xue, Shuai, Yuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.12.2023
Subjects
Hardware
image blocks
Image segmentation
multi-core digital signal processor
Object detection
Orbits
Radar polarimetry
real-time detection
Real-time systems
SAR image
ship detection
Signal processing algorithms
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Summary:In order to solve the problems of large amount of SAR image, large differences in target resolution, non-uniform sea clutter, and difficulty in real-time detection in orbit, an Algorithm for ship detection in spaceborne SAR image based on image segmentation is proposed. Firstly, the image is processed into blocks according to the azimuth and distance directions, secondly, the target detection method based on Weibull statistical model is used to detect ship targets on each block, and finally the connected domain labeling method is used to realize the target clustering. The algorithm effectively solves the problem of target segmentation, improves the detection efficiency and precision, and reduces the false alarm rate. The test is carried out on the hardware platform of multi-core DSP-TMS320C6678 + XilinxV7XC7VX690T. The test results show that the detection effect and efficiency are improved.
ISSN:2837-7109
DOI:10.1109/ICCC59590.2023.10507300