Large-breadth SAR image ship target detection and identification method based on fine segmentation
A target detection and fine segmentation technology, which is applied in the field of SAR ship target detection and recognition, can solve the problems of high false alarm rate, large SAR image size, and inability to achieve positioning, and achieve the effect of improving detection speed and increasing positioning accuracy
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Embodiment 1
[0084] Aiming at the problems of high false alarm rate and rough target positioning in existing large-format SAR image detection methods, this invention proposes a large-format SAR image ship target detection and classification method based on fine segmentation. In this method, the sliding window strategy and the detection network are used to detect large-scale SAR images, and the detection results of each slice are obtained. These results are mapped back to the original image, and after the fusion of voting strategies, the preliminary detection results of the detection network are obtained. The results contain certain false alarm targets, and the target positioning is not accurate. The area corresponding to the detection result is sent to the segmentation network for segmentation, and the fine positioning result of the ship target is obtained. The target in the minimum bounding box area of the final segmentation result is sent to the classification network, and the target i...
Embodiment 2
[0114] For this invention, this section provides a specific implementation case, from the collection and production of data sets to the training, testing and effect display of each model, such as Figure 4 shown. The specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0115] (1) Collection and production of data sets.
[0116] The SAR data taken by the ALOS PALSAR remote sensing satellite from 2006 to 2011 were collected from the NASA Earth Observation System Data Information System. The shooting scenes were selected from the ports and near the coast of the United States, Japan, Taiwan, etc., and the data included 5600×4700, 11300 ×9400 in two sizes. After converting the downloaded data into 16-bit deep single-chan...
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