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A Computationally Efficient Appearance-Based Algorithm for Geospatial Object Detection
Date
2012-04-27
Author
Arslan, Duygu
Alatan, Abdullah Aydın
Metadata
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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.
Subject Keywords
Geospatial object detection
,
Integral image
,
Aircraft operator
URI
https://hdl.handle.net/11511/40182
DOI
https://doi.org/10.1117/12.920272
Conference Name
Conference on Optical Pattern Recognition XXIII
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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D. Arslan and A. A. Alatan, “A Computationally Efficient Appearance-Based Algorithm for Geospatial Object Detection,” Baltimore, MD, 2012, vol. 8398, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40182.