耦合卷积神经网络与注意力机制的无人机摄影测量果树树冠分割方法
何海清, 周福阳, 陈敏, 陈婷, 官云兰, 曾怀恩, 魏燕

Fruit Tree Canopy Segmentation by Unmanned Aerial Vehicle Photogrammetry Coupled on Convolutional Neural Network and Attention Mechanism
HE Haiqing, ZHOU Fuyang, CHEN Min, CHEN Ting, GUAN Yunlan, ZENG Huaien, WEI Yan
表4 CNNAMNet与其他先进网络模型对比结果
Tab. 4 Comparison between the CNNAMNet and other state-of-the-art networks (%)
方法 OA Precision Recall F1 mIoU
SegFormer 97.28 92.18 94.99 93.56 92.26
SETR_PUP 93.59 87.36 89.00 88.17 85.22
TransUNet 97.07 94.12 95.03 94.57 92.89
TransFuse 96.95 93.82 94.89 94.36 92.62
CCTNet 97.26 92.10 94.95 93.51 92.20
CNNAMNet 97.57 94.97 96.02 95.49 94.05