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Jul 5, 2025
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Enhance README.md with additional resources for classification, segme… #76

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Enhance README.md with additional resources for classification, segme…
robmarkcole Jul 5, 2025
a31753a
Remove outdated Kaggle competition links from the README.md
robmarkcole Jul 5, 2025
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Remove outdated EuroSAT dataset reference from the classification sec…
robmarkcole Jul 5, 2025
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8 changes: 8 additions & 0 deletions README.md
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Expand Up @@ -205,6 +205,8 @@ Classification is a fundamental task in remote sensing data analysis, where the

- [U-netR](https://github.com/JonathanVSV/U-netR) -> Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery [paper](https://doi.org/10.3390/rs13183600)

- [nshaud/DeepNetsForEO](https://github.com/nshaud/DeepNetsForEO) -> Deep networks for Earth Observation with PyTorch implementations of state-of-the-art architectures for remote sensing image classification

#
## Segmentation

Expand Down Expand Up @@ -291,6 +293,10 @@ Image segmentation is a crucial step in image analysis and computer vision, with

- [M3SPADA](https://github.com/ecapliez/M3SPADA) -> Multi-Sensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping with spatial pseudo labelling and adversarial learning

- [mapbox/robosat](https://github.com/mapbox/robosat) -> Semantic segmentation on aerial and satellite imagery with active learning to reduce annotation requirements, includes utilities for datasets like OpenStreetMap

- [mitmul/ssai-cnn](https://github.com/mitmul/ssai-cnn) -> Semantic Segmentation for Aerial / Satellite Images with CNN, includes implementation of FCN for dense labeling of aerial imagery

- [GLNet](https://github.com/VITA-Group/GLNet) -> Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

- [LoveNAS](https://github.com/Junjue-Wang/LoveNAS) -> LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network
Expand Down Expand Up @@ -1396,6 +1402,7 @@ Detecting the most noticeable or important object in a scene

- [ssd-spacenet](https://github.com/aurotripathy/ssd-spacenet) -> Detect buildings in the Spacenet dataset using Single Shot MultiBox Detector (SSD)


- [3DBuildingInfoMap](https://github.com/LllC-mmd/3DBuildingInfoMap) -> simultaneous extraction of building height and footprint from Sentinel imagery using ResNet

- [DeepSolaris](https://github.com/thinkpractice/DeepSolaris) -> a EuroStat project to detect solar panels in aerial images, further material [here](https://github.com/FHNW-IVGI/workshop_geopython2019/tree/master/Ex.02_SolarPanels)
Expand Down Expand Up @@ -1432,6 +1439,7 @@ Detecting the most noticeable or important object in a scene

- [Ship-Detection-from-Satellite-Images-using-YOLOV4](https://github.com/debasis-dotcom/Ship-Detection-from-Satellite-Images-using-YOLOV4) -> uses Kaggle Airbus Ship Detection dataset


- [shipsnet-detector](https://github.com/rhammell/shipsnet-detector) -> Detect container ships in Planet imagery using machine learning

- [Mask R-CNN for Ship Detection & Segmentation](https://medium.com/@gabogarza/mask-r-cnn-for-ship-detection-segmentation-a1108b5a083) blog post with [repo](https://github.com/gabrielgarza/Mask_RCNN)
Expand Down