ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Spaceborne SAR ship target recognition network guided by AIS and optical remote sensing images
Received date: 2023-03-09
Revised date: 2023-04-12
Accepted date: 2023-05-30
Online published: 2023-05-31
Supported by
National Science Fund for Young Scholars(62001499);National Natural Science Foundation of China(61790554)
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.
Ziling WANG , Zhenyu XIONG , Lucheng YANG , Ruining YANG , Linzhou HUANG . Spaceborne SAR ship target recognition network guided by AIS and optical remote sensing images[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(2) : 328672 -328672 . DOI: 10.7527/S1000-6893.2023.28672
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