The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-102
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: 83369078@qq.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 reduce noise, and a new hybrid morphological approach is proposed for ROI extraction and feature enhancement. A detection operator based on the boundary shape information (BSI) is developed to detect preprocessed objects. The images from Google Earth are tested in the paper. Comparisons with popular object detection approaches are also discussed. The experimental results show that proposed approach is effective and feasible.
Keywords: BSI, Detection template, Object detection, High resolution satellite imagery, Vehicles, Aircrafts
EXTENSION of the file: .doc
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