GeoMM-SSL: Integrating Geospatial Object Relations in Multimodal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images
Self-supervised learning (SSL) has emerged as a promising approach for pretraining tasks by learning latent task-agnostic representations without labels. Currently, the pretrained SSL models for semantic segmentation of remote sensing images have attracted increasing attention. However, current pret...
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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/11095360/ |
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