Annotation of datasets for deep learning applied to satellite and aerial imagery - satellite-image-deep-learning/annotation
Deep learning has revolutionized the analysis and interpretation of satellite and aerial imagery, addressing unique challenges such as vast image sizes and a wide array of object classes. This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and ...
https://github.com/mapbox/robosat Generic ecosystem for feature extraction from aerial and satellite imagery.neat-EOhttps://github.com/datapink/neat-EO Efficient AI4EO OpenSource frameworkDeepOSMhttps://github.com/trailbehind/DeepOSM Train a deep learning net with OpenStreetMap features and ...
DELTA(Deep Earth Learning, Tools, and Analysis) is a framework for deep learning on satellite imagery, based on Tensorflow. DELTA classifies large satellite images with neural networks, automatically handling tiling large imagery. DELTA is under active development by theNASA Ames Intelligent Robotics ...
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). ...
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...
This branch is up to date with syamkakarla98/Satellite_Imagery_Analysis:main.Folders and files Latest commit syamkakarla98 Add files via upload a1ebd48· May 5, 2022 History28 Commits Classification Delete Deep_Learning_for_Land_Cover_Classification_of_Satellite_Image… Apr 15, 2021 Clustering Cre...
Learning to Detect Roads in High-Resolution Aerial Images(Hinton) Machine Learning for Aerial Image Labeling- Minh's 2013 thesis, student of Hinton's best/recent paper on doing this, great success with these methods Similar Efforts with OSM Data ...
🔥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.
482 484 * [caltech-aerial-rgbt-dataset](https://github.com/aerorobotics/caltech-aerial-rgbt-dataset) -> synchronized RGB, thermal, GPS, and IMU data 483 485 * [Leafy Spurge Dataset](https://leafy-spurge-dataset.github.io/) -> Real-world Weed Classification Within Aerial Drone Imager...