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Research Article

Cloud removal using scattering model and evaluation via semi-realistic simulation

, &
Pages 2799-2825 | Received 16 Nov 2022, Accepted 18 Apr 2023, Published online: 12 May 2023

References

  • Åžuhubi, E. S. 2010. Functional Analysis. OCLC: 961064002. Netherlands, Dordrecht: Springer.
  • Bai, Z. D., and Y. Q. Yin. 1993. “Limit of the Smallest Eigenvalue of a Large Dimensional Sample Covariance Matrix.” Annals of Probability 21 (3, July). doi:10.1214/aop/1176989118.
  • Boyd, S., and L. Vandenberghe. 2004. Convex Optimization. tex.owner: guo020 tex.timestamp: 2014.07.24. Cambridge University Press.
  • Cai, J.F., E. J. Candès, and Z. Shen. 2010. “A Singular Value Thresholding Algorithm for Matrix Completion.” SIAM Journal on Optimization 20 (4, January): 1956–1982. doi:10.1137/080738970.
  • Chen, C., H. Bingsheng, Y. Yinyu, and X. Yuan. 2014. “The Direct Extension of ADMM for Multi-Block Convex Minimization Problems is Not Necessarily Convergent.” In Mathematical Programming, 1–23. tex.publisher: Springer.
  • De la Torre, F. and M. J. Black. Robust Principal Component Analysis for Computer Vision. In Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, volume 1, pages 362–369, Vancouver, BC, Canada, 2001. IEEE Comput. Soc.
  • Dobashi, Y., K. Iwasaki, Y. Yue, and T. Nishita. 2017. “Visual Simulation of Clouds.” Visual Informatics 1 (1, March): 1–8. doi:10.1016/j.visinf.2017.01.001.
  • Dobashi, Y., T. Nishita, H. Yamashita, and T. Okita. 1999. “Using Metaballs to Modeling and Animate Clouds from Satellite Images.” The Visual Computer 15 (9, December): 471–482. doi:10.1007/s003710050193.
  • Emmanuel, J. C., L. Xiaodong, Y. Ma, and J. Wright. Robust principal component analysis? Journal of the ACM, 58(3):1–11:1–11, June 2011. tex.numpages: 37 tex.publisher: ACM.
  • Friedman, J. H., T. Hastie, and R. Tibshirani. 2010 February. “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software 33 (1):1–22. doi:10.18637/jss.v033.i01.
  • Guo, Y., L. Feng, P. Caccetta, and D. Devereux. 2017. “Multiple Temporal Mosaicing for Landsat Satellite Images.” Journal of Applied Remote Sensing 11 (1, March): 015021. doi:10.1117/1.JRS.11.015021.
  • Guo, Y., L. Feng, P. Caccetta, D. Devereux, and M. Berman. Cloud Filtering for Landsat TM Satellite Images Using Multiple Temporal Mosaicing. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pages 7240–7243, Beijing, China, July 2016. IEEE.
  • Hastie, T., S. Rosset, R. Tibshirani, and J. Zhu. 2004. “The Entire Regularization Path for the Support Vector Machine.” Journal of Machine Learning Research 5: 1391–1415.
  • Jaccard, P. 1912. “THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1.” The New Phytologist 11 (2, February): 37–50. doi:10.1111/j.1469-8137.1912.tb05611.x.
  • Junbin Gao, P. W. K., Y. Guo, and Y. Guo. 2009. “Robust Multivariate L1 Principal Component Analysis and Dimensionality Reduction.” Neurocomputing 72 (4–6): 1242–1249. doi:10.1016/j.neucom.2008.01.027.
  • Jun Liu, S. J., and Y. Jieping SLEP: Sparse Learning with Efficient Projection. Technical report, Arizona State University, 2009.
  • Kei Pong, T., P. Tseng, J. Shuiwang, and Y. Jieping. 2010 . “Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.” SIAM Journal on Optimization 20 (6):3465–3489. doi:10.1137/090763184.
  • Liggins, M. E., C. Y. Chong, I. Kadar, M. G. Alford, V. Vannicola, and S. Thomopoulos. 1997. “Distributed Fusion Architectures and Algorithms for Target Tracking.” Proceedings IEEE 85 (1): 95–107. doi:10.1109/JPROC.1997.554211.
  • Maggiori, E., Y. Tarabalka, G. Charpiat, and P. Alliez. Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark. In IEEE international geoscience and remote sensing symposium (IGARSS), 2017. tex.organization: IEEE.
  • Narasimhan, S. G., and S. K. Nayar. 2002. “Vision and the Atmosphere.” International Journal of Computer Vision 48 (3, July): 233–254. doi:10.1023/A:1016328200723.
  • Nesterov, Y. 2003. “Introductory Lectures on Convex Optimization: A Basic Course.“ Applied Optimization, edited by Pardalos Panos M., and W. Hearn Donald, Vol. 87. Kluwer Academic Publishers.
  • Perlin, K. 1985. “An Image Synthesizer.” ACM SIGGRAPH Computer Graphics 19 (3, July): 287–296. doi:10.1145/325165.325247.
  • Perlin, K. 2002. “Improving Noise.” ACM Transactions on Graphics 21 (3, July): 681–682. doi:10.1145/566654.566636.
  • Sarukkai, V., A. Jain, B. Uzkent, and S. Ermon. Cloud Removal from Satellite Images Using Spatiotemporal Generator Networks. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (WACV), Snowmass, CO, USA, March 2020.
  • Tao, T., and V. Van. 2010. “Random Matrices: The Distribution of the Smallest Singular Values.” Geometric and Functional Analysis 20 (1, June): 260–297. doi:10.1007/s00039-010-0057-8.
  • Tibshirani, R., and J. Taylor. 2011 . “The Solution Path of the Generalized Lasso.” Annals of Statistics 39 (3):1335–1371. tex.owner: guo020 tex.timestamp: 2014.07.24. doi:10.1214/11-AOS878.
  • Vershynin, R. 2012. “Introduction to the Non-Asymptotic Analysis of Random Matrices.” In Compressed Sensing, edited by Y. C. Eldar and G. Kutyniok, 210–268. Cambridge: Cambridge University Press.
  • Wen, F., Y. Zhang, Z. Gao, and X. Ling. 2018. “Two-Pass Robust Component Analysis for Cloud Removal in Satellite Image Sequence.” IEEE Geoscience and Remote Sensing Letters 15 (7, July): 1090–1094. doi:10.1109/LGRS.2018.2829028.
  • Xing, Y., J. Duan, Y. Zhu, and H. Wang. 2017. “Three-Dimensional Particle Cloud Simulation Based on Illumination Model.” In LIDAR Imaging Detection and Target Recognition 2017, edited by Y. Lv, J. Su, W. Gong, J. Yang, W. Bao, W. Chen, Z. Shi, J. Fei, S. Han, and W. Jin, 74. Changchun, China: SPIE.
  • Yonina, C. E., and G. Kutyniok editors. 2012. Compressed Sensing Theory and Applications. United Kingdom: Cambridge University Press
  • Yuan, C., X. Liang, S. Hao, Q. Yue, and Q. Zhao. 2014. “Modelling Cumulus Cloud Shape from a Single Image: Modelling Cumulus Cloud Shape from a Single Image.” Computer Graphics Forum 33 (6, September): 288–297. doi:10.1111/cgf.12350.
  • Zhang, Y., F. Wen, Z. Gao, and X. Ling. 2019. “A Coarse-To-Fine Framework for Cloud Removal in Remote Sensing Image Sequence.” IEEE Transactions on Geoscience and Remote Sensing 57 (8, August): 5963–5974. doi:10.1109/TGRS.2019.2903594.
  • Zheng, J., X.Y. Liu, and X. Wang. 2021. “Single Image Cloud Removal Using U-Net and Generative Adversarial Networks.” IEEE Transactions on Geoscience and Remote Sensing 59 (8, August): 6371–6385. doi:10.1109/TGRS.2020.3027819.