Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence
Cloud is a very common weather phenomenon. For optical satellite photo, the occlusion of the image by the cloud layer is very serious. Sometimes cloud will cover up more than 50% of the optical image. Some areas are even unobservable for two to three months. Synthetic aperture radar (SAR) is a mod...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157282 |
| _version_ | 1811676462032355328 |
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| author | Xing, Aoyang |
| author2 | Lu Yilong |
| author_facet | Lu Yilong Xing, Aoyang |
| author_sort | Xing, Aoyang |
| collection | NTU |
| description | Cloud is a very common weather phenomenon. For optical satellite photo, the occlusion of the image by the cloud layer is very serious. Sometimes cloud will cover up more than 50% of the optical image. Some areas are even unobservable for two to three months.
Synthetic aperture radar (SAR) is a modern high-resolution microwave imaging radar. It is able to penetrate the clouds to get information of the ground. However, since SAR is not optical imaging, the imaging effect is very different from the optical image.
Computer Version has made a great progress in recent years. Recently, the ability of recognizing processing images is comparable to that of humans. It has achieved automatic extraction, analysis and understanding of useful information from the images. In this project, I will use image processing, SAR image processing and such deep learning tools as Generative Adversarial Network (GAN) and Convolutional Neural Network (CNN) to recover the cloud masked optical image with SAR image. |
| first_indexed | 2024-10-01T02:21:51Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157282 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:21:51Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1572822023-07-07T19:01:12Z Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence Xing, Aoyang Lu Yilong School of Electrical and Electronic Engineering EYLU@ntu.edu.sg Engineering::Electrical and electronic engineering Cloud is a very common weather phenomenon. For optical satellite photo, the occlusion of the image by the cloud layer is very serious. Sometimes cloud will cover up more than 50% of the optical image. Some areas are even unobservable for two to three months. Synthetic aperture radar (SAR) is a modern high-resolution microwave imaging radar. It is able to penetrate the clouds to get information of the ground. However, since SAR is not optical imaging, the imaging effect is very different from the optical image. Computer Version has made a great progress in recent years. Recently, the ability of recognizing processing images is comparable to that of humans. It has achieved automatic extraction, analysis and understanding of useful information from the images. In this project, I will use image processing, SAR image processing and such deep learning tools as Generative Adversarial Network (GAN) and Convolutional Neural Network (CNN) to recover the cloud masked optical image with SAR image. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-14T06:04:01Z 2022-05-14T06:04:01Z 2022 Final Year Project (FYP) Xing, A. (2022). Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157282 https://hdl.handle.net/10356/157282 en A3134-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Xing, Aoyang Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title | Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title_full | Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title_fullStr | Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title_full_unstemmed | Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title_short | Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence |
| title_sort | cloud removal in optical remote sensing imagery based on sar guided inpainting with artificial intelligence |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/157282 |
| work_keys_str_mv | AT xingaoyang cloudremovalinopticalremotesensingimagerybasedonsarguidedinpaintingwithartificialintelligence |