Cloud Removal in the Tibetan Plateau Region Based on Self-Attention and Local-Attention Models
Guoqiang Zheng, Tianle Zhao, Yaohui Liu, Carmine Serio · 2024
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Description
Satellite photos of the Tibetan Plateau are often spoiled by clouds, just where scientists most need clear views of snow. Guoqiang Zheng, Tianle Zhao, and Yaohui Liu present a cloud removal model for that region in this 2024 paper. The plateau's snow feeds major rivers and shifts fast, so gaps in the record hurt climate and water studies.
Their model, called MATT, mixes attention at several scales with a local module that rebuilds fine detail. A cloud mask inside the local part helps it tell cloud from snow, two bright surfaces that are easy to confuse. The design reads both the broad scene and small textures at once. Tests in the paper compare the model's cleaned images against other methods. The authors aim the tool at snow monitoring over rough, high terrain.
Catalog record
| CREATOR | Guoqiang Zheng, Tianle Zhao, Yaohui Liu, Carmine Serio |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |