Hyperspectral image classification using Gaussian process models

Michael Ying Yang, Wentong Liao, Bodo Rosenhahn, Zheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)


Hyperspectral image processing has been a very dynamic area in remote sensing and other applications since last decades. Hyperspectral images provide abundant spectral information to identify and distinguish spectrally similar materials. Recent advances in kernel machines promote the novel use of Gaussian processes (GP) for classifying hyper-spectral images. Many sophisticated kernel functions have been provided for kernel-based methods. However, different kernel functions has different performance in different applications. This paper introduces GP models with different kernel functions for classifying hyperspectral images. We first provided the mathematical formulation of GP models for classification. Then, several popular kernel functions and their hyperparaeters selection for GP models are introduced. The experiment are performed on three benchmark datasets to evaluate the performances of different kernel functions in terms of classification accuracy. Their performances are compared with each other and discussed in detailed.

Original languageEnglish
Title of host publicationIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Place of PublicationMilan
Number of pages4
ISBN (Electronic)9781479979295
Publication statusPublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015: Remote Sensing: Understanding the Earth for a Safer World - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)


ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Abbreviated titleIGARSS 2015
Internet address


  • Gaussian processes
  • Hyperspectral image classification
  • Kernel function


Dive into the research topics of 'Hyperspectral image classification using Gaussian process models'. Together they form a unique fingerprint.

Cite this