Publisher
Springer Nature Switzerland
Reference22 articles.
1. Long, C., Li, X., Jing, Y., Shen, H.: Bishift networks for thick cloud removal with multitemporal remote sensing images. Int. J. Intell. Syst.Intell. Syst. 2023, 9953198 (2023)
2. Gupta, R., Nanda, S.J.: Cloud detection in satellite images with classical and deep neural network approach: a review. Multimed. Tools Appl. 81(22), 31847–31880 (2022)
3. Irish, R.R., Barker, J.L., Goward, S.N., Arvidson, T.: Characterization of the Landsat-7 ETM+ automated cloud-cover assessment (ACCA) algorithm. Photogramm. Eng. Remote Sens.. Eng. Remote Sens. 72(10), 1179–1188 (2006)
4. Zhu, Z., Woodcock, C.E.: Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sens. Environ. 118, 83–94 (2012)
5. Sun, L., et al.: A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database. J. Geophys. Res. Atmospheres 121(12), 7172–7196 (2016)
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