mining-discovery-with-deep-learning -> code for the 2020 paper: Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning e-Farmerce-platform -> classify crop type sentinel2-deep-learning -> Novel Training Methodologies for Land Classification of Sentinel-2 Imagery RSSC-transfer ...
.github/workflows bin delta docs scripts tests .gitignore .gitlint.yaml LICENSE MANIFEST.in README.md setup.py README Apache-2.0 license DELTA(Deep Earth Learning, Tools, and Analysis) is a framework for deep learning on satellite imagery, based on Tensorflow. DELTA classifies large satellite ...
Annotation of datasets for deep learning applied to satellite and aerial imagery - satellite-image-deep-learning/annotation
https://github.com/trailbehind/DeepOSM Train a deep learning net with OpenStreetMap features and satellite imagery. DeepNetsForEO - segmentation https://github.com/nshaud/DeepNetsForEO Uses SegNET for working on remote sensing images using deep learning. ...
https://github.com/datapink/robosat.pinkDeepOSMhttps://github.com/trailbehind/DeepOSM Train a deep learning net with OpenStreetMap features and satellite imagery.DeepNetsForEO - segmentationhttps://github.com/nshaud/DeepNetsForEO Uses SegNET for working on remote sensing images using deep learning...
Master Thesis about Change Detection in Satellite Imagery using Deep Learning Héloïse BAUDHUIN - Antoine LAMBOT Description: The aim of this thesis is to create a CNN capable of detecting new constructions in satellite imagery. More precisly, taking two satellite images taken at different times...
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch. - GitHub - sshuair/torchsat: 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). ...
- [RoofSense](https://github.com/DimitrisMantas/RoofSense/tree/master) -> A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion- [IBS-AQSNet](https://github.com/zhilyzhang/IBS-AQSNet...
* [Leafy Spurge Dataset](https://leafy-spurge-dataset.github.io/) -> Real-world Weed Classification Within Aerial Drone Imagery * [UAV-HSI-Crop-Dataset](https://github.com/MrSuperNiu/UAV-HSI-Crop-Dataset) -> dataset for "HSI-TransUNet: A Transformer based semantic segmentation model for c...