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Comparison of Quality Measures for Building Outline Extraction
Author(s) -
Potůčková Markéta,
Hofman Petr
Publication year - 2016
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12144
Subject(s) - comparability , computer science , predictability , robustness (evolution) , data mining , quality assessment , evaluation methods , artificial intelligence , statistics , reliability engineering , mathematics , engineering , biochemistry , chemistry , combinatorics , gene
Abstract To date, numerous automatic building detection methods using lidar data have been developed. However, in most cases the parameters used for the evaluation of the results are not specified, accuracy assessment results cannot be readily compared or no result evaluation is performed at all. In this study, accuracy assessment aspects have been analysed in order to find a generally applicable approach for the comparison of building outline extraction methods. An area‐based evaluation of accuracy has been selected as the most suitable due to its robustness, predictability and comparability between datasets. This assessment can be further supplemented with both object‐ and area‐based evaluations, procured solely with those buildings that were classified as true positives, in order to interpret the extraction results in more detail. In cases where a reference dataset of superior quality (such as low‐altitude aerial imagery) is available, an absolute accuracy evaluation is also relevant.