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license: apache-2.0 |
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datasets: |
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- vikki23/LAS |
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--- |
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# Model Card for LandSegmenter |
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<!-- Provide a quick summary of what the model is/does. --> |
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This repo provides the weights for LandSegmenter, a task-specific Foundation Model (FM) for Land Use and Land Cover (LULC) mapping, characterized by high flexibility in both inputs (multi-band, multi-resolution imagery) and outputs (customizable category definitions), supporting both zero-shot inference and fine-tuning. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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LandSegmenter is the first LULC FM trained with LAS, designed with high flexibility to handle diverse input modalities and customizable category settings. It builds on [SAM2](https://github.com/facebookresearch/sam2)'s backbone for robust multi-scale spatial representation, further enhanced by multispectral features from [DOFA](https://github.com/zhu-xlab/DOFA) and high-frequency components for refined structural details. A text-based prompter derived from [GeoRSCLIP](https://github.com/om-ai-lab/RS5M), which takes class names as inputs, further strengthens its semantic understanding, enabling concept-aware and adaptable segmentation across heterogeneous data sources |
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- **Developed by:** Chenying Liu, Wei Huang, Xiao Xiang Zhu |
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- **Funded by:** Munich Center for Machine Learning (MCML) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [GitHub](https://github.com/zhu-xlab/LandSegmenter) |
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- **Paper [optional]:** [arXiv](https://arxiv.org/abs/2511.08156) |
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## Uses |
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Please refer to the GitHub repository for implementation details. |
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## Model Card Authors |
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Chenying Liu |
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## Model Card Contact |
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chenying.liu@tum.de; chenying.liu023@gmail.com |
