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2022rsipac

a2net

Lightweight Remote Sensing Change Detection with Progressive Aggregation and Supervised Attention (IEEE TGRS 2023)

a2s2k-resnet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

canopy

Automatic tree species classification from remote sensing data

cdlab

Yet another repository for developing and benchmarking deep learning-based change detection methods.

change-detection-in-remote-sensing-images

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

christmas

CSS Christmas Tree

cloud-and-fog-removal-system-using-generative-adversarial-networks-satellite-image-processing

Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual project has been configured and tested through Bhuvan.

conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

docs

TensorFlow documentation

fusionmixer-tgrs-2022

Code for TGRS 2022 paper "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images"

geochat

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

haiti-obia

Haiti use case of a full Object Based Image Analysis workflow, from data acquisition to classification of roofs and Model Building Types.

hyperspectral-vision-transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

ieee_tgrs_ccr-net

Xin Wu, Danfeng Hong, Jocelyn Chanussot. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, 2021.

ieee_tgrs_mdl-rs

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.

ieee_tgrs_munet

Multimodal Hyperspectral Unmixing: Insights from Attention Networks

ieee_tgrs_spectralformer

Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

image-fusion

Deep Learning-based Image Fusion: A Survey

kpcamnet

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

land-cover-mapping-china

landslide-sensitivity-mapping

Analysis of landslide susceptibility using convolution neural network

loveda

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

mdvt

mmif-cddfuse

[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

mtcnet