PLA4MS: Curated Georeferenced Dataset for Cloud Removal in Remote Sensing
The presence of meticulously curated extensive training datasets plays a crucial role in advancing the performance of deep learning techniques that generalize well for extracting geoinformation from multisensor remote sensing imagery. Despite numerous datasets being published by the research communi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10949711/ |
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