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

  • AVIRIS sensor and AVIRIS data results
  • Algorithms for unmixing hyperspectral imagery
  • 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)

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