A Mutual Information Constrained Multitask Learning Method for Very High-Resolution Building Segmentation
Accurately extracting building footprints from remote sensing imagery is essential for urban management. Multitask learning (MTL) has shown its potential on improving segmentation accuracy with shared network weights to simultaneously capture various building-related features. However, due to the la...
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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/10930558/ |
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