Nonlinear Spectral Mixture Analysis by Determining Per-Pixel Endmember Sets

No abstract is available for this paper.

• Publication year

  2014

• Venue

  IEEE Geoscience and Remote Sensing Letters

• Publication date

  2014-01-10

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1109/LGRS.2013.2294181
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

  2014cited by this paper
• Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

  2012cited by this paper
• Calculation of Geodesic Distances in Nonlinear Mixing Models: Application to the Generalized Bilinear Model

  2012influential reference
• Collinearity and orthogonality of endmembers in linear spectral unmixing

  2012cited by this paper
• Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data

  2011cited by this paper
• A Quantitative Analysis of Virtual Endmembers' Increased Impact on the Collinearity Effect in Spectral Unmixing

  2011cited by this paper
• Sparse Unmixing of Hyperspectral Data

  2011cited by this paper
• Bilinear models for nonlinear unmixing of hyperspectral images

  2011cited by this paper
• Nonlinear unmixing of hyperspectral images using a generalized bilinear model

  2011influential reference
• Nonlinear Spectral Mixture Analysis for Hyperspectral Imagery in an Unknown Environment

  2010influential reference
• Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated‐forest hyperspectral data

  2009cited by this paper
• Spectral Unmixing Technique Based on Flexibly Selected Endmembers

  2009influential reference
• Nonlinear mixture model for hyperspectral unmixing

  2009cited by this paper
• Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards

  2009cited by this paper
• L1 unmixing and its application to hyperspectral image enhancement

  2009cited by this paper
• Iterative Spectral Unmixing for Optimizing Per-Pixel Endmember Sets

  2006cited by this paper
• Spectral unmixing

  2002cited by this paper
• A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection

  1997cited by this paper

• Self-Supervised Robust Deep Matrix Factorization for Hyperspectral Unmixing

  2022cites this paper
• DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing

  2019cites this paper
• Hyperspectral Nonlinear Unmixing: Endmember extracting Using Iterative Simplex CNN Method

  2019influential citation
• Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble

  2016cites this paper
• Two-Step Constrained Nonlinear Spectral Mixture Analysis Method for Mitigating the Collinearity Effect

  2016cites this paper
• A survey of methods incorporating spatial information in image classification and spectral unmixing

  2016cites this paper
• Hyperspectral Image Nonlinear Unmixing by Ensemble ELM Regression

  2015cites this paper
• Contributions to Ensemble Classifiers with Image Analysis Applications

  2015cites this paper
• Finding Virtual Signatures for Linear Spectral Mixture Analysis

  2015cites this paper