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README.md

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@@ -50,7 +50,8 @@ This document lists resources for performing deep learning on satellite imagery.
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* [Few/one/zero/low shot learning](https://github.com/robmarkcole/satellite-image-deep-learning#fewonezerolow-shot-learning)
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* [Self-supervised, weakly/semi-supervised, unsupervised & contrastive learning](https://github.com/robmarkcole/satellite-image-deep-learning#self-supervised-weaklysemi-supervised-unsupervised--contrastive-learning)
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* [Active learning](https://github.com/robmarkcole/satellite-image-deep-learning#active-learning)
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* [Image registration & data fusion](https://github.com/robmarkcole/satellite-image-deep-learning#image-registration--data-fusion)
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* [Image registration](https://github.com/robmarkcole/satellite-image-deep-learning#image-registration)
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* [Data fusion](https://github.com/robmarkcole/satellite-image-deep-learning#data-fusion)
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* [Terrain mapping, Disparity Estimation, Lidar, DEMs & NeRF](https://github.com/robmarkcole/satellite-image-deep-learning#terrain-mapping-disparity-estimation-lidar-dems--nerf)
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* [Federated learning](https://github.com/robmarkcole/satellite-image-deep-learning#federated-learning)
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* [Thermal Infrared](https://github.com/robmarkcole/satellite-image-deep-learning#thermal-infrared)

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