Kernel Methods for Unmixing Hyperspectral Imagery

Joshua Broadwater, Amit Banerjee, Philippe Burlina

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish (US)
Title of host publicationKernel Methods for Remote Sensing Data Analysis
PublisherJohn Wiley & Sons, Ltd
Pages247-269
Number of pages23
ISBN (Print)9780470722114
DOIs
StatePublished - Nov 4 2009

Keywords

  • Algorithms for unmixing hyperspectral imagery
  • AVIRIS sensor and AVIRIS data results
  • Concept of kernel unmixing algorithms for hyperspectral imagery
  • Function approximation and regression
  • Hyperspectral sensors - unique data for remote sensing applications
  • Kernel fully constrained least squares (KFCLS) algorithm
  • Kernel methods for unmixing hyperspectral imagery
  • Physics-based kernel results
  • Proposed kernel unmixing algorithm
  • SVDD, KFCLS and rate-distortion estimate

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Broadwater, J., Banerjee, A., & Burlina, P. (2009). Kernel Methods for Unmixing Hyperspectral Imagery. In Kernel Methods for Remote Sensing Data Analysis (pp. 247-269). John Wiley & Sons, Ltd. https://doi.org/10.1002/9780470748992.ch11

Kernel Methods for Unmixing Hyperspectral Imagery. / Broadwater, Joshua; Banerjee, Amit; Burlina, Philippe.

Kernel Methods for Remote Sensing Data Analysis. John Wiley & Sons, Ltd, 2009. p. 247-269.

Research output: Chapter in Book/Report/Conference proceedingChapter

Broadwater, J, Banerjee, A & Burlina, P 2009, Kernel Methods for Unmixing Hyperspectral Imagery. in Kernel Methods for Remote Sensing Data Analysis. John Wiley & Sons, Ltd, pp. 247-269. https://doi.org/10.1002/9780470748992.ch11
Broadwater J, Banerjee A, Burlina P. Kernel Methods for Unmixing Hyperspectral Imagery. In Kernel Methods for Remote Sensing Data Analysis. John Wiley & Sons, Ltd. 2009. p. 247-269 https://doi.org/10.1002/9780470748992.ch11
Broadwater, Joshua ; Banerjee, Amit ; Burlina, Philippe. / Kernel Methods for Unmixing Hyperspectral Imagery. Kernel Methods for Remote Sensing Data Analysis. John Wiley & Sons, Ltd, 2009. pp. 247-269
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