torchange - A Unified Change Representation Learning Benchmark Library

[NeurIPS 2024 Spotlight] Official repository of SynRS3D

#1 Locally hosted web application that allows you to perform various operations on PDF files

Using Deep learning to locate the Synthetic Aperture Radar(SAR) images to the counterpart of Optical images.

This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"

This is the open source implementation of the TGRS2024 paper "ADRNet: Affine and Deformable Registration Networks for Multimodal Remote Sensing Images"

An open source library and framework for deep learning on satellite and aerial imagery.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

Awesome-LLM: a curated list of Large Language Model

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

Techniques for deep learning with satellite & aerial imagery

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

用于遥感图像场景分析的中文多模态大模型 | Chinese multimodal large-scale model for remote sensing image scene analysis

Implement of the paper "Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection"

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

image registration related books, papers, videos, and toolboxes