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Publishing Language: Chinese

Spaceborne SAR ship target recognition network guided by AIS and optical remote sensing images

Ziling WANG1, Zhenyu XIONG1( ), Lucheng YANG2, Ruining YANG3, Linzhou HUANG4
Institute of Information Fusion, Naval Aviation University, Yantai 264001, China
No. 91033 Unit of the People’s Liberation Army of China, Qingdao 266000, China
Chongqing Survey Institute, Chongqing 401120, China
Chongqing Geomatics and Remote Sensing Center, Chongqing 401120, China
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Abstract

Spaceborne SAR is widely used in marine target recognition tasks as an all-season and all-weather sensing means. Due to the low resolution, difficult interpretation and uneven samples of SAR images, the existing single-mode target recognition algorithms have low recognition accuracy. In this paper, a spaceborne SAR ship target recognition network guided by AIS and optical remote sensing images is proposed. To overcome the difficulty caused by different feature dimensions of different modal data, the heterogeneous features are mapped into the common space measurement by using the feature migration module on the premise of preserving the unique feature attributes of each modal. For the problem of sample imbalance in different modes and different categories of data, the heterogeneous feature alignment module is used to fully mine the complementary information of different modes, further align the heterogeneous features of different modes in a fine-grained way, and migrate the discriminant features of each mode as a priori information to SAR image modes. In the experimental part, AIS historical data and optical remote sensing data set are used as auxiliary information on two public SAR image ship target data sets. The experimental results show that the network proposed can effectively improve the recognition accuracy of ship targets in SAR images by fusing different modal information.

Keywords

multi-source ship targetremote sensing imageship target recognitionAIS dataheterogeneous characteristic
CLC number: V475.9; TP751 Document code: A

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Acta Aeronautica et Astronautica Sinica
Volume 45 Issue 2,
January 2024
Article number: 328672
DOI: 10.7527/S1000-6893.2023.28672
Cite this article:
WANG Z, XIONG Z, YANG L, et al. Spaceborne SAR ship target recognition network guided by AIS and optical remote sensing images. Acta Aeronautica et Astronautica Sinica, 2024, 45(2): 328672. https://doi.org/10.7527/S1000-6893.2023.28672

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Received: 09 March 2023
Revised: 12 April 2023
Accepted: 30 May 2023
Published: 02 June 2023
© 2024 The Journal of Acta Aeronautica et Astronautica Sinica
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