Multi-class constrained background suppression approach to hyperspectral image classification

Chunyan Yu, Bai Xue, Yulei Wang, Meiping Song, Lin Wang, Sen Li, Shih Yu Chen, Chein I. Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper extends target-constrained interference minimized filter (TCIMF) to multiclass-constrained background suppression classifier (MCBSC) for hyperspectral image classification. In order to capture spatial contextual information MCBSC makes use of a Gaussian filter to feed back a Gaussian-filtered MCBSC map to create a new set of hyperspectral images for MCBSC to be re-implemented again in an iterative manner, referred to as iterative MCBSC (IMCBSC). Finally, it uses Otsu's method to perform hyperspectral image classification. As shown by experiments, MCBSC generally performs better than existing spectral-spatial hyperspectral image classification techniques in terms of several quantitative measures, such as classification rate, false classification rate, precision rate, accuracy rate in addition to overall accuracy (OA) rate.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3357-3360
Number of pages4
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 2017 Dec 1
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 2017 Jul 232017 Jul 28

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period17-07-2317-07-28

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • General Earth and Planetary Sciences

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