DocumentCode :
1502171
Title :
Performance evaluation and analysis of monocular building extraction from aerial imagery
Author :
Shufelt, Jefferey A.
Author_Institution :
Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
21
Issue :
4
fYear :
1999
fDate :
4/1/1999 12:00:00 AM
Firstpage :
311
Lastpage :
326
Abstract :
Research in monocular building extraction from aerial imagery has neglected performance evaluation in three areas: unbiased metrics for quantifying detection and delineation performance, an evaluation methodology for applying these metrics to a representative body of test imagery, and an approach for understanding the impact of image and scene content on building extraction algorithms. This paper addresses these areas with an end-to-end performance evaluation of four existing monocular building extraction systems, using image space and object space-based metrics on 83 test images of 18 sites. This analysis is supplemented by an examination of the effects of image obliquity and object complexity on system performance, as well as a case study on the effects of edge fragmentation. This widely applicable performance evaluation approach highlights the consequences of various traditional assumptions about camera geometry, image content and scene structure, and demonstrates the utility of rigorous photogrammetric object space modeling and primitive-based representations for building extraction
Keywords :
image recognition; object recognition; remote sensing; aerial imagery; camera geometry; delineation performance quantification; detection performance quantification; edge fragmentation; end-to-end performance evaluation; image content; image obliquity; image space metrics; monocular building extraction systems; object complexity; object space-based metrics; performance analysis; performance evaluation; photogrammetric object space modeling; primitive-based representations; scene content; scene structure; test imagery; unbiased metrics; Buildings; Cameras; Extraterrestrial measurements; Geometry; Image analysis; Layout; Performance analysis; Solid modeling; System performance; System testing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.761262
Filename :
761262
Link To Document :
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