Manno-Kovács, Andrea and Szirányi, Tamás (2015) Orientation-selective building detection in aerial images. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 108. pp. 94-112. ISSN 0924-2716 10.1016/j.isprsjprs.2015.06.007

	Text Manno_94_2926124_z.pdf Restricted to Registered users only Download (7MB)
Preview	Text ijprs_offp.pdf - Accepted Version Download (9MB) | Preview

Abstract

This paper introduces a novel aerial building detection method based on region orientation as a new feature, which is used in various steps throughout the presented framework. As building objects are expected to be connected with each other on a regional level, exploiting the main orientation obtained from the local gradient analysis provides further information for detection purposes. The orientation information is applied for an improved edge map design, which is integrated with classical features like shadow and color. Moreover, an orthogonality check is introduced for finding building candidates, and their final shapes defined by the Chan-Vese active contour algorithm are refined based on the orientation information, resulting in smooth and accurate building outlines. The proposed framework is evaluated on multiple data sets, including aerial and high resolution optical satellite images, and compared to six state-of-the-art methods in both object and pixel level evaluation, proving the algorithm's efficiency. © 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).

Update Item