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...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |
---|