xinweijiang Goto Github PK
Name: Xinwei Jiang
Type: User
Company: China University of Geosciences (CUG)
Bio: Xinwei Jiang @ CUG
Location: Wuhan, China
Name: Xinwei Jiang
Type: User
Company: China University of Geosciences (CUG)
Bio: Xinwei Jiang @ CUG
Location: Wuhan, China
Hyperspectral Classification
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
demo for LCMR to be appeared TGRS
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
MCMs for TGRS 2018
Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification
A Python implementation of PCANet https://arxiv.org/abs/1404.3606
PCAnet and different PCA methods, implemented with numpy. Including powerPCA, HebbianPCA, kernelPCA and PCAnet
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
official implementation for the paper "Simplifying Graph Convolutional Networks"
A curated list of awesome self-supervised methods
Awesome Unsupervised Segmentation
Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.
Convolutional Gaussian processes based on GPflow.
Open source datasets for Cross-Scene Hyperspectral Image Classification, continuously updated~
Deep learning toolbox based on PyTorch for hyperspectral data classification.
This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.
Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, for the hyperspectral image classification.
A toolkit for making real world machine learning and data analysis applications in C++
Discriminative non-negative representation based classifier
Digital signal analysis library for python. The library includes such methods of signal analysis and signal parameter estimation as arma-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition; empirical wavelet transform; Hilbert vibration decomposition and many others.
Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network
The world's simplest facial recognition api for Python and the command line
Matlab Code for Gaussian Processes Autoencoder for Dimensionality Reduction
Hyperspectral image classification with varies image processing and machine learning methods.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
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.