A reliability-based multi-algorithm fusion technique in detecting changes in land cover

Penglin Zhang, Wen Zhong Shi, Man Sing Wong, Jiangping Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Detecting land use or land cover changes is a challenging problem in analyzing images. Change-detection plays a fundamental role in most of land use or cover monitoring systems using remote-sensing techniques. The reliability of individual automatic change-detection algorithms is currently below operating requirements when considering the intrinsic uncertainty of a change-detection algorithm and the complexity of detecting changes in remote-sensing images. In particular, most of these algorithms are only suited for a specific image data source, study area and research purpose. Only a number of comprehensive change-detection methods that consider the reliability of the algorithm in different implementation situations have been reported. This study attempts to explore the advantages of combining several typical change-detection algorithms. This combination is specifically designed for a highly reliable change-detection task. Specifically, a fusion approach based on reliability is proposed for an exclusive land use or land cover change-detection. First, the reliability of each candidate algorithm is evaluated. Then, a fuzzy comprehensive evaluation is used to generate a reliable change-detection approach. This evaluation is a transformation between a one-way evaluation matrix and a weight vector computed using the reliability of each candidate algorithm. Experimental results reveal that the advantages of combining these distinct change-detection techniques are evident.
Original languageEnglish
Pages (from-to)1134-1151
Number of pages18
JournalRemote Sensing
Volume5
Issue number3
DOIs
Publication statusPublished - 1 Mar 2013

Keywords

  • Change-detection
  • Fuzzy technique
  • Multi-algorithm fusion
  • Reliability

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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