Vehicle detection of parking lot with different resolution aerial images

被引：0

作者：

Zheng, Zezhong ^{[1
,2
,3
,4
]}

Lu, Yufeng ^{[1
,2
,3
,4
]}

Zhou, Guoqing ^{[4
]}

Liu, Yalan ^{[5
]}

Li, Xiaowen ^{[3
]}

Chen, Jinxi ^{[6
]}

Li, Jiang ^{[7
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

[2] Chengdu Univ Technol, Minist Land & Resources, Key Lab Geosci Spatial Informat Technol, Chengdu, Peoples R China

[3] Chinese Acad Sci, Beijing Normal Univ & Inst Remo, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[4] Guangxi Key Lab Spatial Informat & Geomat, Guilin 541004, Peoples R China

[5] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China

[6] Univ Elect Sci & Technol China, Sch Automat, Chengdu, Sichuan, Peoples R China

[7] Old Dominion Univ, Dept Elect & Comp Engn, Norfolk, VA 23529 USA

来源：

MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V | 2014年 / 9263卷

基金：

中国国家自然科学基金;

关键词：

Vehicle detection; mathematical morphology; template matching; parking lot; SATELLITE; SYSTEM;

D O I：

10.1117/12.2069091

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Vehicle detection is a very important task for intelligent transportation system. In this paper. a method with mathematical morphology and template matching is presented to detect the crowded vehicles of parking lot with high resolution aerial image. Our experimental results with high resolution aerial image showed that the graded image, with the spatial resolution of 1x1ft, could greatly reduce the calculation time, but with the same accuracy as the original image with the spatial resolution of 0.5x0.5ft

引用

页数：6

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