GitHub topics: spectral-unmixing
RichardScottOZ/mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Size: 1.45 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 228 - Forks: 44
bleutner/RStoolbox
Remote Sensing Data Analysis in R đź›°
Language: R - Size: 206 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 279 - Forks: 83
ilias-ant/hyperspectral-images
Processing of HSIs: spectral unmixing and classification.
Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 4
nf-core/rangeland
Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.
Language: Nextflow - Size: 3.67 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 7 - Forks: 6
fco-aguirre/Snow_Cover_SMATI
A high resolution tool for snow cover reconstruction studies
Language: R - Size: 171 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
FordyceLab/MRBLEs
Decoding and analysis software for MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding).
Language: Python - Size: 273 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
earth-chris/earthlib-legacy
Spectral endmembers and unmixing tools for satellite land cover mapping.
Language: Jupyter Notebook - Size: 129 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 3
dimits-ts/hyperspectral-imaging
Classifying the materials of individual pixels taken by satellite using Spectral Unmixing and Pixel Classification.
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
sampolk/D-VIC
This toolbox allows the implementation of the Diffusion and Volume maximization-based Image Clustering algorithm for unsupervised hyperspectral image clustering. See "README.md" for more information. Copyright: Sam L. Polk, 2023.
Language: MATLAB - Size: 14.2 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3
demosense/archeospec
Analysis of the reflectance spectra from paintings: classification and endmembers.
Language: R - Size: 21.2 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1
roberts-farm-of-ideas/10
compare two-point UV/Vis spectroscopy read-out with spectral unmixing
Size: 6.23 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
roberts-farm-of-ideas/4
It is possible to predict the spectrum of e.g. a nucleobase in a nucleoside-nucleobase conversion.
Size: 6.47 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
Reza219/Spectral-unmixing-with-perturbed-endmembers
Data and MATLAB code for the simulations of [R. Arablouei, “Spectral unmixing with perturbed endmembers,” submitted to the IEEE Transactions on Geoscience and Remote Sensing, 2017.]
Language: Matlab - Size: 21.5 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1
