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Proceedings Paper

Automatic aircraft object detection in aerial images
Author(s): Yingchun Li; Hexin Chen; Yunhuan Mei; Jianbo Yang; Wei Zheng
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Paper Abstract

Image segmentation that partitions a given image into meaningful regions is an important task of image analysis for recognition. This paper describes the segmentation of objects in complex aerial images that contain aircraft objects in the airport. The proposed approach is automatically to detect aircraft objects in the aerial images based on the adaptive clustering segmentation algorithm. Following an edge-linking procedure, the regions of objects can be bounded by closed boundaries. The amount of objects can be determined before and after the image denoise. Experiments on a variety of aerial images have shown correct segmentation, regardless of the complexity of background in images.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521906
Show Author Affiliations
Yingchun Li, Jilin Univ. (China)
Hexin Chen, Jilin Univ. (China)
Yunhuan Mei, Second Aeronautical Institute of the Air Force (China)
Jianbo Yang, Second Aeronautical Institute of the Air Force (China)
Wei Zheng, Second Aeronautical Institute of the Air Force (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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