[1]国务院办公厅关于防止耕地“非粮化”稳定粮食生产的意见[J].中华人民共和国国务院公报,2020(33):22-24.
[2]王玉洁.“藏粮于地、藏粮于技”确保国家粮食安全[].农业经济,2023(04):22-23.
[3]厉芳婷,张过,石婷婷,等。耕地“非农化”遥感解译样本分类体系及应用[J].农业工程学报,2022,38(15):297-304.
[4]Krizhevsky A,Sutskever I,Hinton G.ImageNet classification withdeep convolutional neural networks [J ]Neural Information Pro-cessing Systems,2012,25 (2).
[5]Yu H S,Yang Z G,Tan L,et al.Methods and datasets on se-mantic segmentation:a review J.Neurocomput-ing,2018,304:82-103.
[6]Long J,Shelhamer E,Darrell T.Fully convolutional networks forsemantic segmentation [C].IEEE Conference on Computer Visionand Patter Recognition,Boston,Massachusetts,USA,2015:3431-3440.
[7]Ronneberger O,Fischer P,Brox T.U-Net:Convolutional Net-works for Biomedical Image Segmentation C].Interational Con-ference on Medical image computing and computer-assisted interven-tion.Springer.Cham,2015:234-241.
[8]高峰,楚博策,帅通,等。基于深度学习的耕地变化检测技术[J].无线电工程,2019,49(07):571-574.
[9]Alhassan V,Henry C,Ramanna S,et al.A deep leaming frame-work for land-use/land-cover mapping and analysis using multispec-tral satellite imagery J ]Neural Computing andApplications,2020,32(12):8529-8544.
[10]师超,姜琦刚,段富治,等.基于Unet+CRF的GF-2土地利用分类[J].世界地质,2021,40(01):146-153.
[11]赵子字,石刚.引入自注意力U-N?l的无人机遥感农作物分类模型[J].现代电子技术,2023,46(04):125-129.
[12]Fu J,Liu J,Tian H,et al.Dual attention network for scene seg-mentation [C].IEEE Conference on Computer Vision and PatternRecognition,Los Angeles,2019:3146-3154.
[13]Zheng S,Jayasumana S,Romera-Paredes B,et al.Conditionalrandom fields as recurrent neural networks [C].Proceedings ofIEEE Intemational Conference on Computer Vision,Santiago,Chile.2015:1529-1537.
[14]Lafferty J,Mccallum A.,Pereira F C N.Conditional RandomFields:probabilistic models for segmenting and labeling sequencedata [C].Proceeding of 18thIntemational Conference on MachineLearing.2001:1-8.
[15]Badrinarayanan V,Kendall A,Cipolla R.SegNet:a deep convolutional encoder-decoder architecture for image segmentation[J].IEEE Transactions on Patter Analysis and Machine Intellignce,2017,39(12):2481-2495. |