Comparison of pixel-based, object-based and sequential masking classification procedures for land use and land cover mapping using multiple sensor SAR in SWEDEN

Md Latifur Rahman Sarker, Yifang Ban, Janet Elizabeth Nichol

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Multiple sensor applications have become increasingly common in recent years and offer new opportunities to the remote sensing community to extract better information about the earth surface. However, the processing of multiple sensor SAR for land use and land cover mapping is not straightforward and still needs more investigation in order to become operational. This study investigates the efficiency of three different types of classification procedures, namely pixel-based, object-based and sequential masking to extract land use and land cover information from multiple sensor SAR images using the same training and validation areas. Four sensors (RADARSAT finebeam, RADARSAT standard-beam, ERS-2, and JERS-1) in different combinations were investigated in two study areas, to compare their effectiveness for accurate land cover mapping. The results indicate that the pixel-based classifier namely ANN is more accurate (around 90% overall accuracy and 0.90 Kappa coefficient) compared with object-based classification for extracting land use and land cover information from multiple sensor SAR. Overall it was found that the best performance (more than 90% overall accuracy and more than. 90 Kappa coefficient) can be achieved using a sequential masking approach because of its step by step classification technique.
Original languageEnglish
Title of host publication28th Asian Conference on Remote Sensing 2007, ACRS 2007
Pages623-628
Number of pages6
Volume1
Publication statusPublished - 1 Dec 2007
Event28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur, Malaysia
Duration: 12 Nov 200716 Nov 2007

Conference

Conference28th Asian Conference on Remote Sensing 2007, ACRS 2007
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/11/0716/11/07

Keywords

  • Multiple sensors SAR
  • Object-based
  • Pixel-based
  • Sequential masking and ANN

ASJC Scopus subject areas

  • Computer Networks and Communications

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