Semanticforestmy: a spatio-temporal remote sensing dataset for forest and non-forest semantic segmentation
Accurate classification of forest and non-forest regions in satellite imagery is vital for land monitoring. However, inconsistent annotations and limited standardised datasets hinder model comparability. SemanticForestMY addresses this issue with a high-resolution dataset derived from multi-temporal...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/132249/1/132249.pdf https://ir.uitm.edu.my/id/eprint/132249/ |
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