[1] Zhao Y S[M]. Principles and methods of remote sensing application analysis(2003).

[2] Shen C, Jia Y, Yang K K. Fracture road connection method based on high-resolution remote sensing image[J]. Computer Measurement & Control, 28, 246-249(2020).

[3] Lü Y H, Zhang C, Yun W J et al. Automatic recognition of farmland shelterbelts in high spatial resolution remote sensing data[J]. Transactions of the Chinese Society for Agricultural Machinery, 49, 157-163(2018).

[4] Zhang X H, Lü Y F, Yao L B et al. A new benchmark and an attribute-guided multilevel feature representation network for fine-grained ship classification in optical remote sensing images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1271-1285(2020).

[5] Zhou J W, Wu Y Q. Building area recognition method of remote sensing image based on MRELBP feature, Franklin moment and SVM[J]. Acta Geodaetica et Cartographica Sinica, 49, 355-364(2020).

[6] Al-Najjar H A H, Kalantar B, Pradhan B et al. Land cover classification from fused DSM and UAV images using convolutional neural networks[J]. Remote Sensing, 11, 1461(2019).

[7] El Jazouli A, Barakat A, Khellouk R et al. Remote sensing and GIS techniques for prediction of land use land cover change effects on soil erosion in the high basin of the Oum Er Rbia River (Morocco)[J]. Remote Sensing Applications: Society and Environment, 13, 361-374(2019).

[8] Wang C Y, Liu J X, Xu A G et al. A new method of fuzzy supervised classification of high resolution remote sensing image[J]. Geomatics and Information Science of Wuhan University, 43, 922-929(2018).

[9] Zhang C, Pan X, Zhang S Q et al. A rough set decision tree based MLP-CNN for very high resolution remotely sensed image classification[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7, 1451-1454(2017).

[10] Dou P, Chen Y B, Yue H Y. Remote-sensing imagery classification using multiple classification algorithm-based Ada boost[J]. International Journal of Remote Sensing, 39, 619-639(2018).

[11] Tao Y T, Xu M Z, Zhang F et al. Unsupervised-restricted deconvolutional neural network for very high resolution remote-sensing image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 6805-6823(2017).

[12] Qiao W F, Shen L, Dai Y S et al. Building extraction from high resolution remote sensing images by combining dilated convolutional residual networks and pyramid pooling representation[J]. Geography and Geo-Information Science, 34, 56-62(2018).

[13] Wang Q, Liu S T, Chanussot J et al. Scene classification with recurrent attention of VHR remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 1155-1167(2019).

[14] Ma D, Tang P, Zhao L J. SiftingGAN: generating and sifting labeled samples to improve the remote sensing image scene classification baseline in vitro[J]. IEEE Geoscience and Remote Sensing Letters, 16, 1046-1050(2019).

[15] Tong W, Chen W T, Han W et al. Channel-attention-based DenseNet network for remote sensing image scene classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4121-4132(2020).

[16] Bui D T, Tran T D, Nguyen T T, Kaenampornpan M, Malaka R, Nguyen D D et al. Aerial image semantic segmentation using neural search network architecture[M]. Multi-disciplinary trends in artificial intelligence. Lecture notes in computer science, 11248, 113-124(2018).

[17] Cheng R J, Yang Y, Li L W et al. Lightweight residual network based on depthwise separable convolution for hyperspectral image classification[J]. Acta Optica Sinica, 43, 1228010(2023).

[18] Zhu M Z, Fan J Y, Yang Q H et al. SC-EADNet: a self-supervised contrastive efficient asymmetric dilated network for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 5519517(2022).

[19] Tang Y W, Qiu F, Wang B J et al. A deep relearning method based on the recurrent neural network for land cover classification[J]. GIScience & Remote Sensing, 59, 1344-1366(2022).

[20] Song D M, Tang Y H, Wang B et al. Two-branch generative adversarial network with multiscale connections for hyperspectral image classification[J]. IEEE Access, 11, 7336-7347(2022).

[21] Ge H M, Wang L G, Liu M Q et al. Two-branch convolutional neural network with polarized full attention for hyperspectral image classification[J]. Remote Sensing, 15, 848(2023).

[22] Zheng Z S, Liu B, Lu P et al. Spectral classification and characteristic spectral analysis of nearshore aquatic plants based on AlexNet[J]. Chinese Journal of Lasers, 50, 0211001(2023).

[23] Gong J Y, Ji S P. From photogrammetry to computer vision[J]. Geomatics and Information Science of Wuhan University, 42, 1518-1522, 1615(2017).

[24] Wang S Z, Guan X, Li Q. Hyperspectral image super-resolution network of local-global attention feature reuse[J]. Acta Optica Sinica, 43, 2115001(2023).

[25] Chen Y, Chen H S, Liu G Q. Remote sensing image registration based on spatial transform network and phase correlation method[C], 125-128(2020).

[26] Guan Z Q, Liu J L[M]. Remote sensing image interpretation(2007).

[27] Zhang X D[M]. Matrix analysis and applications(2013).

[28] Zhou P, Ni B B, Geng C et al. Scale-transferrable object detection[C], 528-537(2018).

[29] Tan M X, Pang R M, Le Q V. EfficientDet: scalable and efficient object detection[C], 10778-10787(2020).

[30] Yang G H, Feng W, Jin J T et al. Face mask recognition system with YOLOV5 based on image recognition[C], 1398-1404(2021).

[31] Wu C Y, Zhang F, Xia J S et al. Building damage detection using U-net with attention mechanism from pre- and post-disaster remote sensing datasets[J]. Remote Sensing, 13, 905(2021).

[32] Mahmoud A, Mohamed S, El-Khoribi R et al. Object detection using adaptive mask RCNN in optical remote sensing images[J]. International Journal of Intelligent Engineering and Systems, 13, 65-76(2020).

[33] Song K S. Globally convergent algorithms for estimating generalized gamma distributions in fast signal and image processing[J]. IEEE Transactions on Image Processing, 17, 1233-1250(2008).