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Proceedings Paper

A computationally efficient appearance-based algorithm for geospatial object detection
Author(s): Duygu Arslan; A. Aydın Alatan
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Paper Abstract

A computationally efficient appearance-based algorithm for geospatial object detection is presented and evaluated specifically for aircraft detection from satellite imagery. An aircraft operator exploiting the edge information via gray level differences between the aircraft and its background is constructed with Haar-like polygon regions by using the shape information of the aircraft as an invariant. Fast evaluation of the aircraft operator is achieved by means of integral image. Rotated integral images are utilized for detecting aircrafts in various orientations. Experiments are conducted on satellite images taken from various airport regions and promising results are obtained. Among tested various satellite images of 0.5 m resolution including 300 target aircrafts of various sizes, the proposed algorithm has resulted with typical values of 77% and 85% for precision and recall, respectively.

Paper Details

Date Published: 23 April 2012
PDF: 7 pages
Proc. SPIE 8398, Optical Pattern Recognition XXIII, 839808 (23 April 2012); doi: 10.1117/12.920272
Show Author Affiliations
Duygu Arslan, Middle East Technical Univ. (Turkey)
A. Aydın Alatan, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 8398:
Optical Pattern Recognition XXIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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