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Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 42-538
Full Name: Hong Zheng
Position: Professor
Age: ON
Sex: Male
Address: Joint Lab for Intelligent Computing and Intelligent Systems, School of Electronic Information,Wuhan University,129 Luoyun Road, Wuhan, Hubei, China
Country: CHINA
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E-mail address: hong-zheng@126.com
Other E-mails: huxuemin2003@163.com
Title of the Paper: A Novel Object Detection Approach Based on the Boundary Shape Information from High Resolution Satellite Imagery
Authors as they appear in the Paper: Xiaoshu Si, Xuemin Hu, Hong Zheng
Email addresses of all the authors: sixiaoshu@hotmail.com,huxuemin2003@163.com,hong-zheng@126.com
Number of paper pages: 10
Abstract: This paper presents a novel approach of detecting special objects from high resolution satellite imagery. In this approach, a bilateral filtering is used to denoise firstly, and a new morphological approach which combines gray scale morphological processing and binary morphological processing is proposed for ROI extraction and feature enhancement. A detection operator based on the boundary shape information (BSI) is developed to detect enhanced objects. The experiments on images from Google Earth are discussed in the paper. The experimental results show that proposed approach is effective and feasible. Compared with other object detection approaches from high resolution satellite imagery such as PCA or MSNN, the proposed approach has better detection performance.
Keywords: BSI, Detection template, Object detection, Vehicle, Aircraft, High resolution satellite imagery
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