Cloud removal in optical remote sensing imagery based on multimodality image reconstruction using deep learning
It is widely known that optical satellite image is vulnerable to cloud contamination. Our task is to solve the problem of cloud removal by image blending based on the provided high-resolution composite images. The wide spread of machine learning, especially deep learning (DL), makes our problem solv...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/154878 |