Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery
Capturing hierarchical relationships among land-cover classes is crucial for accurate semantic segmentation of remote sensing images. Traditional object-based methods face inherent limitations in modeling these complex relationships. To overcome these limitations, we proposed a novel object-based Ma...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2521795 |
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