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

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"

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)

[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.

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

[Remote Sensing] A Swin Transformer-based Encoding Booster Integrated in U-shaped Network

Public repository of our IGARSS 2023 submission

MAD IRMAD CVA PCA deeplearning

Satellite-Image-Alignment-Differencing-and-Segmentation

This Repository is a fork from 'Dr.Libo Wang' and his Team's Work on Remote Sensing Image Segmentation "UnetFormer". Special Thanks to him <3. I've cloned it, and made changes that needed for our own Project. The Source code of our final product is Private... .

[IEEE Access 2024] DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image