xinweijiang Goto Github PK

-forked-3daes

-forked-3dvscnn

-forked-contrastnet-ae

Hyperspectral Classification

-forked-gcn-for-hsi

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.

-forked-hsi-classification-with-limited-data

-forked-lcmr

demo for LCMR to be appeared TGRS

-forked-mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

-forked-mcms

MCMs for TGRS 2018

-forked-mdgcn

Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

-forked-pcanet

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

-forked-pcanet-hebbianpca-kpca-powerpca

PCAnet and different PCA methods, implemented with numpy. Including powerPCA, HebbianPCA, kernelPCA and PCAnet

-forked-segment-any-anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

-forked-sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-unsupervised-segmentation

Awesome Unsupervised Segmentation

cnn_enhanced_gcn

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.

convgp

Convolutional Gaussian processes based on GPflow.

data-cshsi

Open source datasets for Cross-Scene Hyperspectral Image Classification, continuously updated~

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

demo_ssal_sdp

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.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dnrc

Discriminative non-negative representation based classifier

dsatools

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.

extended-morphological-profile

f2hnn

Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network

face_recognition

The world's simplest facial recognition api for Python and the command line

gpae

Matlab Code for Gaussian Processes Autoencoder for Dimensionality Reduction

gplvm-vars

hsi-classification

Hyperspectral image classification with varies image processing and machine learning methods.