Behnood Rasti (@BehnoodRasti)
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BehnoodRasti

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Top repositories

1

HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
MATLAB
119
star
2

Unmixing_Tutorial_IEEE_IADF

Codes and data for Unmixing
Jupyter Notebook
37
star
3

UnDIP

UnDIP: Hyperspectral Unmixing Using Deep Image Prior
Python
33
star
4

HySUPP

An Open-Source Hyperspectral Unmixing Python Package
Python
23
star
5

MiSiCNet

MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
Python
12
star
6

HapkeCNN

Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network
Python
9
star
7

SUnCNN

Sparse Unmixing Using Unsupervised Convolutional Neural Network
Python
8
star
8

Hyperspectral-Image-Denoising-Matlab-Toolbox

This is hyperspectral image denoising Matlab toolbox contains 2D Wavelet denoising (3D Wavelet), 3D Wavelet Denoising (3D Wavelet), First Order Roughness Penalty DeNoising (FORPDN), and Hyperspectral Restoration (HyRes).
6
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9

Wavelet-Toolbox-Wavelab_fast-

Wavelab_fast is a fast wavelet toolbox for one, two, and three dimensional signals. Wavelab_fast contains wavelet and undecimated wavelet transforms. Wavelet filters must be selected from wavelab toolbox by using MakeONFilter command or from Rice wavelet toolbox by using daubcqf command. Wavelab_fast is written based on modifying some codes from Wavelab and adding some codes for higher dimensional signals and implementing undecimated wavelet transform using algorithm a trous. The codes provided are much faster than the ones from wavelab for 2D and 3D signals. That has been done by skipping loops on pixels. ***The toolbox is recommended for applying on large 2D and 3D datasets. Also, in the case of having many 1D signals instead of using for loop.*** *** The code can only be used for academic purposes and the code must be cited by its DOI given by RG.*** *** To request for the password please send an email to [email protected]
MATLAB
4
star
10

Hyperspectral-Image-Denoising-Toolbox-V2

This toolbox contains the following HSI denoising methods
Python
3
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11

OTVCA

Hyperspectral Feature Extraction Using Total Variation Component Analysis (OTVCA)
3
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12

SubFus

SubFus is a multisensor remote sensing image classification technique based on subspace sensor fusion.
2
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13

SSLRA

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis
2
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14

HyMiNoR

Hyperspectral Mixed Gaussian and Sparse Noise Reduction
1
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15

HySURE

HySURE is a technique for Hyperspectral Subspace Identification using SURE.
1
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16

SUnAA

Sparse Unmixing using Archetypal Analysis
Python
1
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