Denoising of Binary Built-Up Maps Using Multi-Temporal Image Processing Thresholding
Accurate identification of built-up land from remotely sensed imagery is essential for urban planning, environmental monitoring, and disaster response. However, binary built-up maps derived from single-date classifications often contain semantic noise—misclassified pixels resulting from shadows, bar...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2026-02-01
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| Serier: | Land |
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| Online adgang: | https://www.mdpi.com/2073-445X/15/2/271 |
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