image registration related books, papers, videos, and toolboxes

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

A list of awesome remote sensing image captioning resources

Official Implementation of Deep Aerial Image Matching using PyTorch

The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"

Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

[CVPR'23] Probability-based Global Cross-modal Upsampling for Pansharpening

Deep Convolutional SpatioTemporal Fusion Network (DCSTFN)

A PyTorch Implementation Rotation Detector based EfficientDet Detector

[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'

Some Useful Tools for Object Detection in Remote Sensing Imagery. 一些遥感图像目标检测的实用代码及工具，不断更新中...

A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection.

This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

[TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'

[IEEE Access 2023] ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image

Code for "Remote Sensing Image Fusion via Boundary Measured Dual-Channel PCNN in Multi-Scale Morphological Gradient Domain"