METHOD FOR IDENTIFICATION AND RECOGNITION OF AIRCRAFT TAKE-OFF AND LANDING RUNWAY BASED ON PSPNET NETWORK
METHOD FOR IDENTIFICATION AND RECOGNITION OF AIRCRAFT TAKE-OFF AND LANDING RUNWAY BASED ON PSPNET NETWORK
- New search for: SONG YONGDUAN
- New search for: HU FANG
- New search for: JIANG ZIQIANG
- New search for: SONG YONGDUAN
- New search for: HU FANG
- New search for: JIANG ZIQIANG
The present disclosure relates to a method for identification and recognition of an aircraft take-off and landing runway based on a PSPNet network, wherein the method: adopts a residual network ResNet and a lightweight deep neural network MobileNetV2 as the two backbone feature-extraction networks to enhance that feature extraction; at the same time adjusts an original four-layered pyramid pooling module into five layered, with each layer being respectively sized by 9×9, 6×6, 3×3, 2×2, 1×1; uses a finite self-made image about the aircraft take-off and landing terrain for training; and labels and extracts the aircraft take-off and landing runway in the aircraft take-off and landing terrain image. The method effectively combines ResNet and MobileNetV2, and improves the detection accuracy of the aircraft take-off and landing runway in comparison with the prior art.
Document information
METHOD FOR IDENTIFICATION AND RECOGNITION OF AIRCRAFT TAKE-OFF AND LANDING RUNWAY BASED ON PSPNET NETWORK
2022-10-06
Patent
Electronic Resource
English
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