A Computationally Efficient Appearance-Based Algorithm for Geospatial Object Detection

Date

2012-04-27

Author

Arslan, Duygu
Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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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Citation Formats

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.