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code_lrtfdfr

Double Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image

code_smflrtc

matlab code

code_tgrs_low-fibered-rank

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization

code_wstnn

matlab code

color_image_denoising

Very efficient and effective color image denoising method.

color_video_denoising

A competitive color video denoising software

comparison-database-of-hyperspectral-classification-results

将各个高光谱图像分类文献（2016-2019，TGRS、JSTARS、GRSL、RS、ISPRS、IJRS、JARS）结果按照同条件进行比较，并进行了总体的评分

compressed-sensing

Compressed Sensing using NMF

compressed-sensing-diffusion-lung-mri

Compressed-sensing-diffusion-lung-MRI

compressed_sensing

Image compression using compressed sensing.

compressive-sensing

Master Thesis - Microscopic object image reconstruction using compressive sensing method.

compressive-sensing-denoising

Compressed sensing and denoising of images using sparse representations

compressive-sensing-for-mri

compressiveflows

Implementation of ICCV 2019 paper "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

compressivesensing

compressivesensingdictionarylearning

Compressive Sensing using Sparse Dictionary Learning

concrete-crack-detection-using-md-cumsum-method

A lightweight but real time method for reinforced concrete crack detection using Acoustic Emission features. Contributors: Md Arafat Habib, Akahnd Rai, Jongmyon Kim

continuum-removal-hyperspectral-infrared-imagery

Author: Bardia Yousefi ([email protected]) Computer vision and systems laboratory, Department of Electrical and Computer Engineering, Laval University, Quebec city, Canada Date: May 02, 2018 0.Copyright notice code -- (c) 2018-2029 Bardia Yousefi This code is provided as is, with no guarantees except that bugs are almost surely present. Published documents of research using this code (or a modified version) should cite the article that describes the algorithm: Yousefi, B., Sojasi, S., Castanedo, C.I., Beaudoin, G., Maldague, X.P. and Chamberland, M. (2018). Continuum removal for ground-based LWIR 2 hyperspectral infrared imagery applying non-negative matrix factorization. Applied Optics. Comments and bug reports are welcome. Email to [email protected]. I would also appreciate hearing about how you used this code, improvements that you have made to it, or translations into other languages. You are free to modify, extend or distribute this code, as long as this copyright notice is included whole and unchanged. # MATLAB code for mineral identification using Hyperspectral clustering This is MATLAB programming code for continuum removal in hyperspectral infrared imagery. This code is made free from other copy righted codes. This code just can received the preprocessed input hyperspectral image and performing the preprocess is not possible as this is under the copy right of TELOPS company. It is possible to use the code directely for any other hyperspectral data. First read your own hyperspectral image cube and then replace the initial predefined input data with your own data cube. Instruction: Please follow the instructions mentioned below: 1. visit: https://speclib.jpl.nasa.gov/search-1/mineral for completing ASTER folder. 2. Please download the "sparse-nmfv1_4" 3. Change your directory at the first cell of CR_J0_noise.m, and change SNR parameter at your will. Feel free to contact me whenever you have any problem running this code!

controlledrandomsampling

This is a project to test the random sampling strategy in hyperspectral image classification.

cophi

Inference via Matrix Completion

countsketch-matrix-tensor-id

Matlab code for fast randomized matrix and tensor interpolative decomposition using CountSketch

cp-amp

This is an example to illustrate Tensor Completion using CP-AMP.

crack-detection-based-on-elm

An implementation of Crack detection based on ELM

crack-detection-of-concrete-railway-sleepers

crack-detection-using-matlab-code

crack-detector

Matlab codes for concrete crack detection using TuFF

crackdetection

Project for crack detection

crackdetection-1

Crack Dectection(Matlab)

crackdetection-2

Crack detection for concrete structure using Matlab

crackdetection_with_compressivesensing

This is a dictionary based method to detect cracks and loads on beems, truss and plates. This uses compressed accelerometer responses for the dictionary and uses COMPRESSIVE SENSING to compress and extract the data