A new approach for choice of optimal spatial scale in image classification based on entropy

Peng Han, Jianya Gong, Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The existing methods for choice of optimal spatial scale are evaluated. It is pointed out that these are some methods based on statistics. However, these methods have not taken into account the spatial distribution. A new approach based on information entropy is introduced to select an optimal spatial scale in image classification. An experimental evaluation is also conducted. Results show that the new approach is more meaningful than traditional one. The proposed method will be useful for a variety of scale-related land cover classification tasks.
Original languageChinese (Simplified)
Pages (from-to)676-679
Number of pages4
JournalWuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
Volume33
Issue number7
Publication statusPublished - 5 Jul 2008

Keywords

  • Choice of optimal spatial scale
  • Divergence
  • Scale in remote sensing
  • Variogram

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Earth-Surface Processes

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