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A comparison of contextual classification methods using Landsat TM
Department of Forest Resource Management and Geomatics, Swedish University of Agricultural Sciences, Umeå, Sweden. (statistik)
1997 (English)In: International Journal of Remote Sensing, ISSN 0143-1161, E-ISSN 1366-5901, Vol. 18, no 18, p. 3835-3842Article in journal (Refereed) Published
Abstract [en]

The performance of contextual classification methods is evaluated using Landsat TM data. Classes of pixels adjacent to the pixel to be classified are assumed to be conditionally independent given the class of the pixel to be classified. An assumption of autocorrelated spectral reflectance is made in three of the methods. Methods that utilize information from one image and images from two different occasions are compared. Our results indicate that an autocorrelation method utilizing images from two different occasions performs optimally.

Place, publisher, year, edition, pages
Taylor & Francis Group, 1997. Vol. 18, no 18, p. 3835-3842
National Category
Computer and Information Sciences
Research subject
Statistics
Identifiers
URN: urn:nbn:se:oru:diva-61371DOI: 10.1080/014311697216649ISI: 000070957300010Scopus ID: 2-s2.0-0031426907OAI: oai:DiVA.org:oru-61371DiVA, id: diva2:1148190
Available from: 2017-10-10 Created: 2017-10-10 Last updated: 2018-01-13Bibliographically approved

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Flygare, Ann-Marie

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