Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libra...

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Bibliographic Details
Published in:ISPRS journal of photogrammetry and remote sensing 2014-01, Vol.87 (100), p.205-215
Main Authors: Belgiu, Mariana, Drǎguţ, Lucian, Strobl, Josef
Format: Article
Language:English
Subjects:
Accuracy
Animal, plant and microbial ecology
Applied geophysics
Availability
Biological and medical sciences
Classifications
Comparison
Earth sciences
Earth, ocean, space
Exact sciences and technology
Experiment
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Image analysis
Image classification
Imagery
Internal geophysics
Land Cover
Libraries
OBIA
Operators
Tasks
Teledetection and vegetation maps
Urban
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Description
Summary:The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libraries which would guide the image analysis procedure. In this study we aimed at evaluating the variability of digital classifications carried out by three experts who were all assigned the same interpretation task. Besides the three classifications performed by independent operators, we developed an additional rule-based classification that relied on the image classifications best practices found in the literature, and used it as a surrogate for libraries of object characteristics. The results showed statistically significant differences among all operators who classified the same reference imagery. The classifications carried out by the experts achieved satisfactory results when transferred to another area for extracting the same classes of interest, without modification of the developed rules.
ISSN:0924-2716
1872-8235
DOI:10.1016/j.isprsjprs.2013.11.007