Skip to Main Content
Skip Nav Destination

The probabilistic distance classifier for land-use mapping


Providing fast, practical, and reasonable estimates, pixel-level classifiers are commonly used for land-use classifications. However, their efficiency is generally poor for heterogeneous land classes for which spectral/thematic observations do not follow a normal probability distribution. This study introduces a statistical moment form classifier--the probabilistic distance classifier (PDC)--considering both spectral distances between considered pixels and supervised classes, and sample probabilities of the spectral/thematic observations. Calibrated with a representative land-use data set, the PDC reduces the classification process uncertainty arising from unknown probabilistic population behaviors of the supervised classes and thus improves the accuracy of the classification results. Considering five supervised land classes, the land-use map of Istanbul was produced with the PDC as well as with the pixel-level supervised classifiers most commonly used in the literature. The efficiency of the classifiers was evaluated based on error matrices via producer, user, and overall accuracies. Kappa analyses were applied to test the statistical significance of the classification results. This study showed better classification results with PDC than the other pixel-level classifiers considered, and the PDC proved to be a statistically significant classifier for land-use classification, especially in case of heterogeneous land classes with a non-normal probabilistic behavior.

ISSN: 1078-7275
EISSN: 1558-9161
Coden: ENGEA9
Serial Title: Environmental & Engineering Geoscience
Serial Volume: 20
Serial Issue: 2
Title: The probabilistic distance classifier for land-use mapping
Author(s): Ozcelik, Ceyhun
Affiliation: University of Tokyo, Institute of Industrial Science, Tokyo, Japan
Pages: 133-152
Published: 201405
Text Language: English
Publisher: Association of Environmental & Engineering Geologists and The Geological Society of America, College Station, TX, United States
References: 25
Accession Number: 2014-066215
Categories: Environmental geologyHydrogeology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 6 tables, sketch maps
N41°00'00" - N42°40'00", E28°00'00" - E29°45'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Association of Engineering Geologists and the Geological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201435
Close Modal

or Create an Account

Close Modal
Close Modal