373 skills found · Page 5 of 13
aokdata / Land Cover ClassificationA deep learning (neural network) land cover classification project using satellite images (remote sensing).
previtus / ChangeDetectionProjectChange Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.
Abdallah-M-Ali / Mineral Prospectivity Mapping MLApplication of Machine Learning to map mineral prospectivity using remote sensing and geological data. This research project select four supervised learning methods (RF, SVM, ANN, and CNN) to predict gold prospection in Hamassana area north east Sudan
weihancug / SSGF For HRRS Scene Classificationexperiemntal code for "A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification"
VMarsocci / 3DCDRemote sensing elevation (3D) change detection with deep learning
deepinstinct / VSTO POCA proof-of-concept created for academic/learning purposes, demonstrating both local and remote use of VSTO "Add-In's" maliciously
loveswine / UNet Keras For RSimageThis is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication
mitai-app / Mi Android POCMI - A PS4 Remote Tool (repo will be soon moved to: mitai-app/mi-android) This repo will be open for learning purposes
3dgeo-heidelberg / EtraineeE-learning course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions
james4388 / NoahcarAutonomous Remote Controlled (toy) car using deep learning. Raspberry Pi, PiCar, Python
jiangruoqiao / RICNN GongCheng CVPR2015Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
weiji14 / DeepicedrainMapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!
MUYang99 / Pytorch Remote Sensing Image ClassificationBased on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)
VisionXLab / RSCoVLM[Remote Sensing 2026] Co-Training Vision Language Models for Remote Sensing Multi-task Learning
IPL-UV / AltoolboxMATLAB Active Learning Toolbox for Remote Sensing
weiweisong415 / Demo DFFN For TGRS2018A deep learning-based method for hyperspectral image classification, which published in IEEE Trans. Geosci. Remote Sens., 2018.
dlarchives / Contrastive Sensor FusionOpen-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".
WanderRainy / MaRSAAAI26 | MaRS: A Multi-Modality Very-High-Resolution Remote Sensing Foundation Model with Cross-Granularity Meta-Modality Learning
wgcban / Metric CDOfficial PyTorch implementation of Deep Metric Learning for Unsupervised Change Detection in Remote Sensing Images
HSG-AIML / Global NO2 EstimationCode repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022
