[1] Q Guo, Y H Zhao, A Li. Cloud detection for DSCOVR EPIC data, 55-59(2018).

[2] O Dubovik, Z Q Li, M I Mishchenko et al. Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives. Journal of Quantitative Spectroscopy and Radiative Transfer, 224, 474-511(2019).

[3] M Shao, Y Zou. Multi-spectral cloud detection based on a multi-dimensional and multi-grained dense cascade forest. Journal of Applied Remote Sensing, 15, 028507(2021).

[4] Y Z Sun, G W Jiang, Y D Li et al. GF-5 satellite: Overview and application prospects. Spacecraft Recovery & Remote Sensing, 39, 1-13(2018).

[5] Q Yan, H Liu, J J Zhang et al. Cloud detection of remote sensing image based on multi-scale data and dual-channel attention mechanism. Remote Sensing, 14, 3710(2022).

[6] Z Zhu, C E Woodcock. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment, 118, 83-94(2012).

[7] K T Kriebel, G Gesell, M Kästner et al. The cloud analysis tool APOLLO: Improvements and validations. International Journal of Remote Sensing, 24, 2389-2408(2003).

[8] Z L Liu, J J Yang, W J Wang et al. Cloud detection methods for remote sensing images: A survey. Chinese Space Science and Technology, 43, 1-17(2023).

[9] R Rossi, R Basili, F D Frate et al. Techniques based on Support Vector Machines for cloud detection on QuickBird satellite imagery, 515-518(2011).

[10] P F Li, L M Dong, H C Xiao et al. A cloud image detection method based on SVM vector machine. Neurocomputing, 169, 34-42(2015).

[11] G Chen, C E Dong. Support vector machines for cloud detection over ice-snow areas. Geo-spatial Information Science, 10, 117-120(2007).

[12] Y J Zhan, J Wang, J P Shi et al. Distinguishing cloud and snow in satellite images via deep convolutional network. IEEE Geoscience and Remote Sensing Letters, 14, 1785-1789(2017).

[13] J X Li, P Zhao, W Fang et al. Cloud detection of multi-angle remote sensing image based on deep learning. Journal of Atmospheric and Environmental Optics, 15, 380-392(2020).

[14] J Y Yang, J H Guo, H J Yue et al. CDnet: CNN-Based cloud detection for remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 57, 6195-6211(2019).

[15] J J Zhang, K Ge, L N Xun et al. MFCD-net: Cross attention based multimodal fusion network for DPC imagery cloud detection. Remote Sensing, 14, 3905(2022).

[16] J J Wang, X B Sun, R F Ti et al. Multi-angle polarization radiation threshold detection method of cloud cover over ocean. Journal of Atmospheric and Environmental Optics, 16, 247-255(2021).

[17] Y M Dai, F Gieseke, S Oehmcke et al. Attentional Feature Fusion, 3559-3568(2021).

[18] J J Wang. Cloud Detection and Cloud Phase Inversion and Examples Analysis of Strong Convective Cloud Clusters Based on DPC Polarized Remote Sensing Data of Gaofen-5 Satellite(2021).

[19] F Parol, J C Buriez, C Vanbauce et al. First results of the POLDER "Earth Radiation Budget and Clouds" operational algorithm. IEEE Transactions on Geoscience and Remote Sensing, 37, 1597-1612(1999).

[20] G Sèze, C Vanbauce, J C Burie et al. Cloud cover observed simultaneously from FOLDER and METEOSAT. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 24, 921-926(1999).