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Name: Rongbo Fan
Type: User
Company: NWPU
Bio: Remote Sensing Change Detetion Image processing Deep Learning
Location: Shannxi Xi'an
Name: Rongbo Fan
Type: User
Company: NWPU
Bio: Remote Sensing Change Detetion Image processing Deep Learning
Location: Shannxi Xi'an
List of datasets, codes, and contests related to remote sensing change detection
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.
According to the type of experimental data, dividing into two catalogues include one_classify and two_classify.
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Convert the model weights from .ckpt file to .npz file.
Multiscale Unsupervised Domain Adaption Illumination-Reflection Decoupling Change Detection Model
Unsupervised Cross-domain Change Detection Model Based on Multi-scale Illumination-Reflection Decoupling
Unsupervised cross-domain remote sensing change detection model with deep differential feature constraints
I achieve to control two high-speed camera (50~200FPS) by the multi-threading, which have cpp and python version.
Because the algorithm of Robust PCA need iteration to converge, the speed processed in CPU is slow. We run the Robust PCA on GPU,whose speed will promote 10 times.
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
J20航模遥控器,完全开源!
Code for Transfer Learning book--《迁移学习导论》配套代码
I persent some python program about VOC2012/2007 datasets using and processing mehod.
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Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.