Cloud restoration of optical satellite imagery using time-series spectral similarity group

References

• Bai, B., Y. Tan, K. Zhou, G. Donchyts, A. Haag, and A. H. Weerts. 2022. “Time-Series Surface Water Gap Filling Based on Spatiotemporal Neighbourhood Similarity.” International Journal of Applied Earth Observation and Geoinformation 112:102882. https://doi.org/10.1016/j.jag.2022.102882.
   Web of Science ®Google Scholar
• Brown, A. J., and Y. Xie. 2012. “Symmetry Relations Revealed in Mueller Matrix Hemispherical Maps.” Journal of Quantitative Spectroscopy and Radiative Transfer 113 (8): 644–21. https://doi.org/10.1016/j.jqsrt.2012.01.008.
   Web of Science ®Google Scholar
• Candra, D. S., S. Phinn, and P. Scarth. 2016. “Cloud and Cloud Shadow Masking using Multi-temporal Cloud Masking Algorithm in Tropical Environmental.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2:95–100. https://doi.org/10.5194/isprs-archives-XLI-B2-95-2016.
   Google Scholar
• Cao, R., Y. Chen, J. Chen, X. Zhu, and M. Shen. 2020. “Thick Cloud Removal in Landsat Images Based on Autoregression of Landsat Time-Series Data.” Remote Sensing of Environment 249:112001. https://doi.org/10.1016/j.rse.2020.112001.
   Web of Science ®Google Scholar
• Chen, B., B. Huang, L. Chen, and B. Xu. 2016. “Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery.” IEEE Transactions on Geoscience and Remote Sensing 55 (1): 27–37. https://doi.org/10.1109/TGRS.2016.2580576.
   Web of Science ®Google Scholar
• Elbadawy, O., M. R. El-Sakka, and M. S. Kamel 1998. “An Information Theoretic Image-Quality Measure.” In Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering, 25-28 May 1998, Waterloo, ON, Canada 1:169–172.
   Google Scholar
• Engebretson, C. 2020. “Landsat 8–9 Operational Land Imager (OLI)—Thermal Infrared Sensor (TIRS) Collection 2 Level 1 (L1) Data Format Control Book (DFCB).” Department Inter US Geological Survey. https://www.usgs.gov/media/files/landsat-8-9-olitirs-collection-2-level-1-data-format-control-book.
   Google Scholar
• Gao, J., Q. Yuan, J. Li, H. Zhang, and X. Su. 2020. “Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks.” Remote Sensing 12 (1): 191. https://doi.org/10.3390/rs12010191.
   Web of Science ®Google Scholar
• Gomez, L., J. Amoros, G. Mateo, J. Munoz, and G. Camps. 2017. “Cloud Masking and Removal in Remote Sensing Image Time Series.” Journal of Applied Remote Sensing 11 (1): 015005. https://doi.org/10.1117/1.JRS.11.015005.
   Google Scholar
• Huang, C., N. Thomas, S. N. Goward, J. G. Masek, Z. Zhu, J. R. Townshend, and J. E. Vogelmann. 2010. “Automated Masking of Cloud and Cloud Shadow for Forest Change Analysis Using Landsat Images.” International Journal of Remote Sensing 31 (20): 5449–5464. https://doi.org/10.1080/01431160903369642.
   Web of Science ®Google Scholar
• Ivanchuk, N., P. Kogut, and P. Martyniuk. 2023. “Data Fusion of Satellite Imagery for Generation of Daily Cloud Free Images at High Resolution Level.” arXiv Preprint arXiv. https://doi.org/10.48550/arXiv.2302.12495.
   Google Scholar
• Jin, S., C. Homer, L. Yang, G. Xian, J. Fry, P. Danielson, and P. A. Townsend. 2013. “Automated Cloud and Shadow Detection and Filling Using Two-Date Landsat Imagery in the USA.” International Journal of Remote Sensing 34 (5): 1540–1560. https://doi.org/10.1080/01431161.2012.720045.
   Web of Science ®Google Scholar
• Kang, S., Y. Choi, and J. Choi. 2021. “Restoration of Missing Patterns on Satellite Infrared Sea Surface Temperature Images Due to Cloud Coverage Using Deep Generative Inpainting Network.” Journal of Marine Science and Engineering 9 (3): 310. https://doi.org/10.3390/jmse9030310.
   Web of Science ®Google Scholar
• Kim, B., Y. Kim, Y. Han, W. Choi, and Y. Kim. 2014. “Fully Automated Generation of Cloud-Free Imagery Using Landsat-8.” Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 32 (2): 133–142. https://doi.org/10.7848/ksgpc.2014.32.2.133.
   Google Scholar
• Konik, M., M. Kowalewski, K. Bradtke, and M. Darecki. 2019. “The Operational Method of Filling Information Gaps in Satellite Imagery Using Numerical Models.” International Journal of Applied Earth Observation and Geoinformation 75:68–82. https://doi.org/10.1016/j.jag.2018.09.002.
   Web of Science ®Google Scholar
• Lee, M. H., E. J. Cheon, and Y. D. Eo. 2019. “Cloud Detection and Restoration of Landsat-8 Using STARFM.” Korean Journal of Remote Sensing 35 (5–2): 861–871. https://doi.org/10.7780/kjrs.2019.35.5.2.10.
   Web of Science ®Google Scholar
• Li, W., Y. Li, D. Chen, and J. C. W. Chan. 2019. “Thin Cloud Removal with Residual Symmetrical Concatenation Network.” ISPRS Journal of Photogrammetry and Remote Sensing 153:137–150. https://doi.org/10.1016/j.isprsjprs.2019.05.003.
   Web of Science ®Google Scholar
• Liu, H., B. Huang, and J. Cai. 2023. “Thick Cloud Removal Under Land Cover Changes Using Multisource Satellite Imagery and a Spatiotemporal Attention Network.” IEEE Transactions on Geoscience and Remote Sensing 61:1–18. https://doi.org/10.1109/TGRS.2023.3334492.
   Web of Science ®Google Scholar
• Li, X., L. Wang, Q. Cheng, P. Wu, W. Gan, and L. Fang. 2019. “Cloud Removal in Remote Sensing Images Using Nonnegative Matrix Factorization and Error Correction.” ISPRS Journal of Photogrammetry and Remote Sensing 148:103–113. https://doi.org/10.1016/j.isprsjprs.2018.12.013.
   Web of Science ®Google Scholar
• Maduskar, D., and N. Dube. 2021. “Navier–Stokes-based Image Inpainting for Restoration of Missing Data Due to Clouds.” In Innovations in Computational Intelligence and Computer Vision, edited by M. K. Sharma, V. S. Dhaka, T. Perumal, N. Dey, and J. M. R. S. Tavares, 497–505. Singapore: Springer. https://doi.org/10.1007/978-981-15-6067-5_56.
   Google Scholar
• Makridakis, S., A. Andersen, R. Carbone, R. Fildes, M. Hibon, R. Lewandowski, J. Newton, E. Parzen, and R. Winkler. 1982. “The Accuracy of Extrapolation (Time Series) Methods: Results of a Forecasting Competition.” Journal of Forecasting 1 (2): 111–153. https://doi.org/10.1002/for.3980010202.
   Web of Science ®Google Scholar
• Mohajerani, S., T. A. Krammer, and P. Saeedi. 2018. “Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks.” ArXiv Preprint. https://doi.org/10.48550/arXiv.1810.05782.
   Google Scholar
• Norris, J., R. Allen, A. Evan, M. Zelinka, C. O’Dell, and S. Klein. 2016. “Evidence for Climate Change in the Satellite Cloud Record.” Nature 536 (7614): 72–75. https://doi.org/10.1038/nature18273.
   PubMed Web of Science ®Google Scholar
• Shen, H., X. Li, Q. Cheng, C. Zeng, G. Yang, H. Li, and L. Zhang. 2015. “Missing Information Reconstruction of Remote Sensing Data: A Technical Review.” IEEE Geoscience and Remote Sensing Magazine 3 (3): 61–85. https://doi.org/10.1109/MGRS.2015.2441912.
   Web of Science ®Google Scholar
• Shen, Y., Y. Wang, H. Lv, and H. Li. 2015. “Removal of Thin Clouds Using Cirrus and QA Bands of Landsat-8.” Photogrammetric Engineering and Remote Sensing 81 (9): 721–731. https://doi.org/10.14358/PERS.81.9.721.
   Web of Science ®Google Scholar
• Sun, L., X. Liu, Y. Yang, T. Chen, Q. Wang, and X. Zhou. 2018. “A Cloud Shadow Detection Method Combined with Cloud Height Iteration and Spectral Analysis for Landsat 8 OLI Data.” ISPRS Journal of Photogrammetry and Remote Sensing 138:193–207. https://doi.org/10.1016/j.isprsjprs.2018.02.016.
   Web of Science ®Google Scholar
• Wang, Z., A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. 2004. “Image Quality Assessment: From Error Visibility to Structural Similarity.” IEEE Transactions on Image Processing 13 (4): 600–612. https://doi.org/10.1109/TIP.2003.819861.
   PubMed Web of Science ®Google Scholar
• Wang, J., C. K. Lee, X. Zhu, R. Cao, Y. Gu, S. Wu, and J. Wu. 2022. “A New Object-Class Based Gap-Filling Method for PlanetScope Satellite Image Time Series.” Remote Sensing of Environment 280:113136. https://doi.org/10.1016/j.rse.2022.113136.
   Web of Science ®Google Scholar
• Wang, J. L., X. L. Zhao, H. C. Li, K. X. Cao, J. Miao, and T. Z. Huang. 2023. “Unsupervised Domain Factorization Network for Thick Cloud Removal of Multi-Temporal Remotely Sensed Images.” IEEE Transactions on Geoscience and Remote Sensing 61:5405912. https://doi.org/10.1109/TGRS.2023.3303169.
   Web of Science ®Google Scholar
• Wang, Z., D. Zhou, X. Li, L. Zhu, H. Gong, and Y. Ke. 2023. “Virtual Image-Based Cloud Removal for Landsat Images.” GIScience & Remote Sensing 60 (1): 2160411. https://doi.org/10.1080/15481603.2022.2160411.
   Web of Science ®Google Scholar
• Xia, M., and K. Jia. 2022. “Reconstructing Missing Information of Remote Sensing Data Contaminated by Large and Thick Clouds Based on an Improved Multitemporal Dictionary Learning Method.” IEEE Transactions on Geoscience and Remote Sensing 60:1–14. https://doi.org/10.1109/TGRS.2021.3095067.
   Web of Science ®Google Scholar
• Yang, G., H. Shen, L. Zhang, Z. He, and X. Li. 2015. “A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT Vegetation NDVI Time-Series Data.” IEEE Transactions on Geoscience and Remote Sensing 53 (11): 6008–6021. https://doi.org/10.1109/TGRS.2015.2431315.
   Web of Science ®Google Scholar
• Yu, X., and D. J. Lary. 2021. “Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification.” Remote Sensing 13 (16): 3289. https://doi.org/10.3390/rs13163289.
   Web of Science ®Google Scholar
• Yun, Y. 2023. “Cloud detection and image reconstruction from Landsat imagery based on time-series spectral similarity group.” Master’s thesis, Seoul National University of Science and Technology. http://www.dcollection.net/handler/snut/200000659928.
   Google Scholar
• Zhang, Q., Q. Yuan, C. Zeng, X. Li, and Y. Wei. 2018. “Missing Data Reconstruction in Remote Sensing Image with a Unified Spatial–Temporal–Spectral Deep Convolutional Neural Network.” IEEE Transactions on Geoscience and Remote Sensing 56 (8): 4274–4288. https://doi.org/10.1109/TGRS.2018.2810208.
   Web of Science ®Google Scholar
• Zhou, Y. N., S. Wang, T. Wu, L. Feng, W. Wu, J. Luo, X. Zhang, and N. N. Yan. 2022. “For-Backward LSTM-Based Missing Data Reconstruction for Time-Series Landsat Images.” GIScience & Remote Sensing 59 (1): 410–430. https://doi.org/10.1080/15481603.2022.2031549.
   Web of Science ®Google Scholar
• Zhu, Z., S. Qiu, B. He, and C. Deng. 2018. “Cloud and Cloud Shadow Detection for Landsat Images: The Fundamental Basis for Analyzing Landsat Time Series”. In Time Series Image/Data Generation, edited by Q. Weng, 3–23. 1st ed. Remote Sensing Time Series Image Processing Boca Raton, Florida, US: Taylor and Francis Group. https://doi.org/10.1201/9781315166636-1.
   Google Scholar
• Zhu, Z., and C. E. Woodcock. 2012. “Object-Based Cloud and Cloud Shadow Detection in Landsat Imagery.” Remote Sensing of Environment 118:83–94. https://doi.org/10.1016/j.rse.2011.10.028.
   Web of Science ®Google Scholar