Hen datacube with ground truth

Citation Author(s):
Nelson
Diaz
Universidad Industrial de Santander
Juan Marcos
Ramirez
Universidad Rey Juan Carlos
Esteban
Vera
Pontificia Universidad Católica de Valparaiso
Henry
Arguello
Universidad Industrial de Santander
Submitted by:
Nelson Diaz
Last updated:
Wed, 09/08/2021 - 01:26
DOI:
10.21227/7et5-6p34
Links:
Compressive Adaptive Classification Multisensor
License:
Creative Commons Attribution
231 Views
Categories:
Geoscience and Remote Sensing
Keywords:
Hyperspectral imagary classification
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Abstract 

This dataset is composed of a datacube with 271 x 271 pixels, and 96 bands.  The ground truth has 271 x 271 pixels.

Instructions: 

This code was written using Matlab R2019b.

  1. It should be downloaded the CompressiveAdaptiveClassificationMultisensor.-main.zip repository
  2. Download the datacube (Hen_Full_Spectral.mat), and the ground truth (Hen_gt.mat)
  3. The files should be placed in the Data folder of this repository.
  4. To run the code using either the function Main3DCASSI or MainCCASSI that performs the sensing, Adaptive coded aperture design, and classification using the compressive measurements.

Comments

Hen datacube with ground truth. This dataset could be used in hyperspectral image classification.

Submitted by Nelson Diaz on Wed, 09/08/2021 - 01:18

thank you very much

Submitted by Taner Cevik on Mon, 11/01/2021 - 02:45

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