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README.md

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- [asos](https://gitlab.jsc.fz-juelich.de/kiste/asos) -> Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery
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- [SinkSAM](https://github.com/osherr1996/SinkSAM) -> Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model
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### Segmentation - Roads & sidewalks
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Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment
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- [RemoteSAM](https://github.com/1e12Leon/RemoteSAM) -> Towards Segment Anything for Earth Observation (SAM)
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- [HieraRS](https://github.com/AI-Tianlong/HieraRS) -> A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multi-Granularity Interpretation and Cross-Domain Transfer
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#
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## Instance segmentation
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- [Urban-Tree-Generator](https://github.com/adnan0819/Urban-Tree-Generator) -> Spatio-Temporal and Generative Deep Learning for Urban Tree Localization and Modeling [paper](https://link.springer.com/article/10.1007/s00371-022-02526-x)
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- [EcoMapper](https://github.com/maltevb/ecomapper) -> Generative Modeling for Climate-Aware Satellite Imagery
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#
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## Autoencoders, dimensionality reduction, image embeddings & similarity search
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