| Description | Remote Sensing (RS) imagery is crucial for challenging operations, but clouds can create obstacles. Satellites capture multispectral images across visible and infrared bands, with opaque clouds covering half of Earth's surface and 20% obstructed by cirrus or thin clouds. The research project will be focused on removing clouds and obtaining accurate pixels in satellite images. |
|---|---|
| Number of students | 2 |
| Year of study | Students in their 3rd year (Semester 5), Students in their 4th/5th year (Semester 7/9) |
| CPI | 7 or above |
| Prerequisites | Image processing and ML/DL knowledge |
| Duration | 2 months |
| Learning outcome | Image processing skill enhancement Image restoration skill enhancement Remote Sensing subject knowledge 1 journal publication |
| Weekly time commitment | 8 hours |
| General expectations | Dedication and sincerity |
| Assignment |
References https://arxiv.org/pdf/2112.15483.pdf https://github.com/topics/cloud-removal https://www.mdpi.com/2072-4292/15/4/904 |
| Instructions for assignment | Summarize the above papers and prepare the concepts for the interview |
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