• Home
  • CODES
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Hyperspectral Super Resolution
    • Machine Learning in Remote Sensing
    • Pansharpening
    • Registration
    • Spectral Unmixing
  • DATA
  • About us
  • Home
  • CODES
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Hyperspectral Super Resolution
    • Machine Learning in Remote Sensing
    • Pansharpening
    • Registration
    • Spectral Unmixing
  • DATA
  • About us
home/Knowledge Base/CODES/Spectral Unmixing/A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm

A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm

November 13, 2015

A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm
Marrero, R.; Lopez, S.; Callico, G.M.; Veganzones, M.A.; Plaza, A.; Chanussot, J.; Sarmiento, R.

IEEE Transactions on Geoscience and Remote Sensing
Volume: 53 , Issue: 7
DOI : 10.1109/TGRS.2014.2383440
Publication Year: 2015 , Page(s): 3772 – 3790

Tags:abundance estimationdimensionality estimationendmember identificationhyperspectral unmixingnegative abundance-oriented (NABO) algorithm
Attached Files
#
File Type
File Size
Download
1 .pdf 3.45 MB 2015_TGRS_Unmixing_NABO
2 .zip 5.64 KB TGRS.2014.2383440_toolbox
Related Articles
  • Multimodal Hyperspectral Unmixing: Insights From Attention Networks
  • Hyperspectral endmember extraction using convex geometry
  • Multimodal Hyperspectral Unmixing: Insights from Attention Networks
  • MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
  • Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
  • Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing

Didn't find your answer? Contact Us

Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Data fusion: Hyperspectral + Multispectral
    • Deep Learning
    • Denoising
    • Feature Extraction
    • Graphs
    • Graphs, Manifold
    • Hyperspectral
    • Hyperspectral remote sensing
    • Hyperspectral Super Resolution
    • Infrared
    • Machine Learning in Remote Sensing
    • Multi-modal
    • Object Detection
    • Pansharpening
    • Registration
    • Sequences
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
    • Tensor
  • DATA

  An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

A New Fast Algorithm for Linearly Unmixing Hyperspectral Images  

Contact

Mail : Jocelyn Chanussot

Like Us On Facebook
Facebook Pagelike Widget
Follow Us On Twitter
Follow @RemoteOpen
Links

http://www.jocelyn-chanussot.net