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3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

adhd-classification-using-spectral-graphs-and-von-neumann-entropy

aed-algorithm

Hyper-spectral Anomaly Detection With Attribute and Edge-Preserving Filters

afa

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

air-polsar-seg

analysis-and-improvement-of-fuzzy-c-means-clustering-algorithm-in-image-segmentation

anomaly-detection-in-hyperspectral-images-based-on-low-rank-and-sparse-representation

attention-graph-convolution-network-for-image-segmentation-in-big-sar-imagery-data

the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"

bayestar

Bayesian photometric parallax. Infers distances, reddenings, stellar types, and line-of-sight extinction profiles.

cdsrc_matlab_code

cdSRC(Class-Dependent Sparse Representation Classifier) 基于类别的稀疏表示分类器的简单实现，MATLAB代码版本。下面是原论文地址：

centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

cnn-al-mrf

This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".

cnn-soiltextureclassification

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

code-of-awlrr

This is the code of paper: "Adaptive Weighted Nonnegative Low-Rank Representation"

conv-caps-hsi-classification

Code for the paper "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification"

covid-net

COVID-Net Open Source Initiative

crack-detection

crnrc

Class-specific residual constraint nonnegative representation based classifier

cv-cnn

data_for_demos

The demo data can be available here.

deep-tensor-factorization-for-hyperspectral-image-classification

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

deephypercnn

Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dehic

Deep learning framework for hyperspectral image classification

demo-of-multiple-kernel-clustering-with-neighbor-kernel-subspace-segmentation

demo_dffn

The code implementation of our paper "Hyperspectral Image Classification With Deep Feature Fusion Network", TGRS, 2018.

demo_spdf-svm

The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019

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.