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Research on Ship Detection in the SAR Image Algorithm Based on Improved SSD

Published: 25 February 2022 Publication History

Abstract

With the rapid development of deep learning, target detection technology has been widely used in various fields. At this stage, ship detection method in the SAR image based on the SSD algorithm, the accuracy was more improved than traditional methods, but the SSD algorithm takes a long time, and it was difficult to detect and locate the ship target in real time in the missile-borne SAR image. In addition, the SSD model has a large amount of calculation, and has a deviation in the detection of small targets. A ship detection method in the SAR image is proposed in this paper. The method improves the shallow network structure of the SSD algorithm, increases the network of different modules for feature fusion, reduces the loss of information in the training process, improves the feature extraction ability of small ships in the SAR image, and increases the receptive field of shallow features. Experiments was carried on SSDD and SAR-Ship-Dataset datasets. Compared with SSD algorithm, It was increased about 6% and 7% of mAP, which reduced the calculation amount of convolution, and the model size was reduced by about 7M and 10M.

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Cited By

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  • (2023)A Novel Anchor-Free Model With Salient Feature Fusion Mechanism for Ship Detection in SAR ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2023.331983116(9089-9105)Online publication date: 2023
  • (2023)Toward Enhanced Support for Ship SailingIEEE Access10.1109/ACCESS.2023.330380811(87047-87061)Online publication date: 2023

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        cover image ACM Other conferences
        AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
        September 2021
        715 pages
        ISBN:9781450384087
        DOI:10.1145/3488933
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 25 February 2022

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        Author Tags

        1. SAR image
        2. SSD algorithm
        3. Ship detection
        4. feature fusion

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        • Research-article
        • Research
        • Refereed limited

        Funding Sources

        • major special fund for technological innovation of Hubei Province of China
        • Natural Science Foundation of Hubei Province of China

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        AIPR 2021

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        • (2023)A Novel Anchor-Free Model With Salient Feature Fusion Mechanism for Ship Detection in SAR ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2023.331983116(9089-9105)Online publication date: 2023
        • (2023)Toward Enhanced Support for Ship SailingIEEE Access10.1109/ACCESS.2023.330380811(87047-87061)Online publication date: 2023

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