MSALNet:a multi-scale adaptive learning network for high-resolution remote sensing scene classificationOA
MSALNet:a multi-scale adaptive learning network for high-resolution remote sensing scene classification
Chao Yang;Chengbo Wei;Yiming Zhao;Liming Wang;Peigang Xu;Kunlun Qi;Yuanzheng Shao;Huayi Wu
National Engineering Research Center of Geographical Information System,China University of Geosciences,Wuhan,ChinaNational Engineering Research Center of Geographical Information System,China University of Geosciences,Wuhan,ChinaNational Engineering Research Center of Geographical Information System,China University of Geosciences,Wuhan,ChinaChina Mobile(Hangzhou)Information Technology Co.,Ltd.,Hangzhou,ChinaFirst Institute of Photogrammetry and Remote Sensing,MNR,Xi'an,ChinaNational Engineering Research Center of Geographical Information System,China University of Geosciences,Wuhan,ChinaCollaborative Innovation Center of Geospatial Technology,Wuhan University,Wuhan,ChinaCollaborative Innovation Center of Geospatial Technology,Wuhan University,Wuhan,China
Remote sensing scene classificationconvolutional neural network(CNN)scale effectmultiscale feature fusionscale adaptive
Remote sensing scene classificationconvolutional neural network(CNN)scale effectmultiscale feature fusionscale adaptive
《地球空间信息科学学报（英文版）》 2026 (1)
中插7,143-167,26
This work was supported in part by the National Natural Science Foundation of China[grant number 42371428],in part by the National Key R&D Program of China[grant number 2024YFB3908605],Special Fund of Hubei Luojia Laboratory[grant number 220100034],in part by the Open Fund of Hubei Luojia Laboratory[grant number 220100056].
评论