Integrating Deep Change Vector Analysis and SAM for Class-Specific Change Detection
Change detection is an important task in Earth observation with applications in environmental monitoring, urban development, and disaster management. Traditional supervised deep learning approaches rely on labeled bitemporal datasets, which are often scarce, making unsupervised methods, such as deep...
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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/11086368/ |
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