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crack_detection

crack_detection-1

Crack detection algorithm using matlab Image processing

cracktokentoolbox

This is a crack detection toolbox based on mid-level feature Crack Token

cscluster

simulation codes for paper " Transmission Efficient Clustering Method for Wireless Sensor Networks using Compressive Sensing"

csnet

The deep Learning network based on Compressive Sensing

csnet-1

Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)

csradar

Compressed Sensing for improved radar target classification

cvip2019_dharam

Energy Based Convex Set Hyperspectral Endmember Extraction Algorithm

cvpr2020-code

CVPR 2020 论文开源项目合集

dal

Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning

dataframe

Dataframe toolboxes for data analysis and plotting in Matlab

dcf_plus

A method using Matrix completion to predict relationship of genes and diseases

dct_wavelet_denoising

Image denoising using DCT Dictionary & Wavelet transform.

deblur-pmp

Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

deblurring-text-images-via-l0-regularized-intensity-and-gradient

deep-blind-hyperspectral-image-fusion

deep-learning-methods-for-hyperspectral-image-denoising

Deep learning methods for Hyperspectral Image Denoising

deep-plug-and-play-prior-for-low-rank-tensor-completion-matconvnet-

code of Deep Plug-and-Play Prior for Low-Rank Tensor Completion (matconvnet)

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

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

demo_dffn

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

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.

denoisezoo

awesome image and video denoising, state of the art networks

denoising-btwavelet

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

density-peak-based-noisy-label-detection-for-hyperspectral-image-classification

This code is for our paper "Density Peak-based Noisy Label Detection for Hyperspectral Image Classification". If you use this code, please kindly cite our paper: Bing Tu, Xiaofei Zhang, Xudong Kang, Guoyun Zhang and Shutao Li, "Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1573-1584, Mar. 2019. If you have any questions, please contact us. Email: [email protected].

deter

Compressive Sensing Reconstruction via Decomposition, Elsevier Signal Processing: Image Communication, 2016

digital-image-processing-ee624

Denoising images using Bi-lateral filter. Harris corner detector algorithm. Reconstruction using DCT. Wavelet decomposition.

distributed-compressive-sensing-a-deep-learning-approach

Distributed Compressive Sensing: A Deep Learning Approach

divergentsubset

Simultaneously Counting and Extracting Endmembers in Hyperspectral Images Based on Divergent Subsets; Endmember Extraction; Spectral unmixing; Endmember Estimation; Estimating the number of endmembers.

dl-cacti

Deep Learning for Video Compressive Sensing