The official implement of 《Overcome the Uncertainty Challenges in Detecting Building Changes from Remote Sensing Images》

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

Paraformer: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

[TIP 2023] Can Spectral Information Work While Extracting Spatial Distribution? — An Online Spectral Information Compensation Network for HSI Classification

[TNNLS 2023] Overcoming the Barrier of Incompleteness: A Hyperspectral Image Classification Full Model

[ISPRS JP&RS 2023] From center to surrounding: an interactive learning framework for hyperspectral image classification

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing

Codes for 《Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation》

Pytorch code of the SAM-CD

List of datasets, codes, and contests related to remote sensing change detection

[Esri GIS 2nd Prize] We developed this indoor and outdoor seamless positioning and navigation system under the Android system by using the built-in multi-sensors of mobile phones.

[IEEE TGRS 2020] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

[ISPRS J P&RS 2023] Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

[ISPRS P&RS 2023] Official Python Implementation of Fourier domain structural relationship analysis for unsupervised multimodal change detection

[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

[IEEE TGRS 2024] Object-guided transformer for multimodal change detection using paired OSM data and optical imagery

[IEEE TGRS 2024] S3ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification

[WACV 2024] Official repository of SyntheWorld

LightCDNet: Lightweight Change Detection Network Based on VHR Images

[STOTEN 2022] Generating long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)

[IEEE TGRS 2023] Deep Blind Super-Resolution for Satellite Video

[IEEE TCSVT 2023] Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

[INFFUS 2023] From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution

[JAG 2022] Space-time Super-resolution for Satellite Video: A Joint Framework Based on Multi-Scale Spatial-Temporal Transformer

[IEEE TGRS 2022] Satellite Video Super-resolution via Multi-Scale Deformable Convolution Alignment and Temporal Grouping Projection