A band ratio approach for classification in shaded area

Hung Ming Kao, Hsuan Ren

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

1 Scopus citations

Abstract

The shadow effect is always a major problem for optical remote sensing images classification. This effect is occurred because of topography terrain or clouds, which may cause the same material classified into two different classes. One feature of shaded area in optical images is that the values of all bands are small and this property can provide useful information to reduce the shadow effect. The band ratio approach should play an important role to eliminate the shadow effect. In this study, we proposed the adjacent band ratio approach to reduce the shaded effect and also employ an unsupervised classification algorithm. The experiment result showed that, the ratio approach certainly has potential to improve the classification performance in shaded region.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages658-662
Number of pages5
StatePublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 18 Oct 200923 Oct 2009

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume2

Conference

Conference30th Asian Conference on Remote Sensing 2009, ACRS 2009
Country/TerritoryChina
CityBeijing
Period18/10/0923/10/09

Keywords

  • Classification
  • PCA
  • Ratio
  • Remote sensing
  • Shadow removal
  • Unsupervised

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