[1] Yan Q, Li H, Jing L H et al. Automatic extraction algorithm of seismic landslide information based on after-calamity high-resolution remote sensing image[J]. Laser & Optoelectronics Progress, 54, 112801(2017).

[2] Li C Y, Yao J M, Lin Z X et al. Object detection method based on improved YOLO lightweight network[J]. Laser & Optoelectronics Progress, 57, 141003(2020).

[3] Zhang Y C, Jin Z H, Sikand M. The top-of-atmosphere, surface and atmospheric cloud radiative kernels based on ISCCP-H datasets: method and evaluation[J]. Journal of Geophysical Research Atmospheres, 126, 1356-1364(2021).

[4] Li X, Cai K Y. Method research on ship detection in remote sensing image based on Yolo algorithm[C], 104-108(2020).

[5] Chen G B, Pei Q, Kamruzzaman M M. Remote sensing image quality evaluation based on deep support value learning networks[J]. Signal Processing: Image Communication, 83, 115783(2020).

[6] Gong X, Chen Z L, Wu L et al. Transfer learning based mixture of experts classification model for high-resolution remote sensing scene classification[J]. Acta Optica Sinica, 41, 2301003(2021).

[7] Chang J X, Wang S X, Yang Y W et al. Hierarchical optimization method of building contour in high-resolution remote sensing images[J]. Chinese Journal of Lasers, 47, 1010002(2020).

[8] Liu J H, Zhou C H, Chen P et al. An efficient contrast enhancement method for remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 14, 1715-1719(2017).

[9] Peng J X, Su Y Q, Xue X R et al. Deep learning semantic statistical features’ labeling of SAR image based on K-MEANS clustering and wavelet transform[J]. Journal of Physics Conference Series, 1616, 012062(2020).

[10] Geng W X, Zhou W X, Jin S G. Scene classification of high-resolution remote sensing image based on multi-kernel SVM using features extracted from LDCNN[J]. Bulletin of Surveying and Mapping, 14-21(2021).

[11] Li J, Wu Z, Hu Z et al. Automatic cloud detection method based on generative adversarial networks in remote sensing images[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 885-892(2020).

[12] Ji F C, Ming D P, Zeng B C et al. Aircraft detection in high spatial resolution remote sensing images combining multi-angle features driven and majority voting CNN[J]. Remote Sensing, 13, 2207(2021).

[13] Dehnavi S, Maghsoudi Y, Zakšek K et al. Cloud detection based on high resolution stereo pairs of the geostationary meteosat images[J]. Remote Sensing, 12, 371(2020).

[14] Yao J Q, Chen J Y, Chen Y et al. Cloud detection of remote sensing images based on deep learning and condition random field[J]. Science of Surveying and Mapping, 44, 121-127(2019).

[15] Chen X D, Liu L Y, Gao Y et al. A novel classification extension-based cloud detection method for medium-resolution optical images[J]. Remote Sensing, 12, 2365(2020).

[16] Han L D, Lin X G, Liang Y. An automatic cloud detection method for high resolution satellite images[J]. Science of Surveying and Mapping, 46, 115-121(2021).

[17] Yang T P, Yan W J, Zhang Y. Conversion study on multi-spectral information of remote sensing images GF-1 WFV, Landsat-8 OLI and Sentinel-2A MSI[J]. Journal of East China Normal University (Natural Science), 136-146(2017).