Large-format remote sensing image ship target detection method and system under small sample condition

The invention discloses a large-format remote sensing image ship target detection method and system under a small sample condition. The method comprises the steps: introducing an SENet attention mechanism module into a Bottleneck module of a YOLO v5 network, adding a detection layer, and forming a t...

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Hauptverfasser: ZHANG BIYIN, ZHOU QIANWEN, HU ZHONGHUI, LIU JIUZHOU
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a large-format remote sensing image ship target detection method and system under a small sample condition. The method comprises the steps: introducing an SENet attention mechanism module into a Bottleneck module of a YOLO v5 network, adding a detection layer, and forming a target detection network; constructing a pre-training data set to perform pre-training on the targetdetection network, and performing transfer learning on the target detection network by using the preprocessed ship target annotation data set to obtain a test model; and carrying out iterative cuttingon the large-format remote sensing image to be recognized to obtain a small image, respectively carrying out target detection and target coordinate conversion by using the test model, and outputtinga target detection result. According to the method, effective training of a network model and large-format image quick detection can be completed by using small-batch image target samples, and the accuracy and robustness of shi