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基于遥感影像的油罐自动检测算法
引用本文:张维胜,王超,张红,吴樊,汤益先,穆湘萍.基于遥感影像的油罐自动检测算法[J].宇航学报,2006,27(6):1298-1301.
作者姓名:张维胜  王超  张红  吴樊  汤益先  穆湘萍
作者单位:1. 中国科学院研究生院,中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101;北京高科技研究所,北京,100085
2. 中国科学院,中国遥感卫星地面站,北京,100086;中国科学院研究生院,中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101
3. 中国科学院,中国遥感卫星地面站,北京,100086
4. 北京高科技研究所,北京,100085
基金项目:中国科学院知识创新工程项目
摘    要:油罐自动检测和识别对于大比例尺、自动/半自动计算机制图具有重要的意义。提出的油罐检测算法利用改进的随机Hough变换(RHT),改进的Canny算法和模板匹配算法,不仅在识别率上有较大的提高,同时也缩短了检测时间,并解决了油罐识别中模板匹配模板选择问题,降低了RHT计算复杂度。通过实验证明,采用本文提出的油罐自动检测算法识别率优于80%,满足了75%的指标要求。

关 键 词:自动油罐检测  模板匹配  改进的Canny算法
文章编号:1000-1328(2006)06-1298-04
收稿时间:07 4 2005 12:00AM
修稿时间:2005-07-042005-11-30

An Automatic Oil Tank Detection Algorithm Based on Remote Sensing Image
ZHANG Wei-sheng,WANG Chao,ZHANG Hong,WAN Fan,TANG Yi-xian,MU Xiang-ping.An Automatic Oil Tank Detection Algorithm Based on Remote Sensing Image[J].Journal of Astronautics,2006,27(6):1298-1301.
Authors:ZHANG Wei-sheng  WANG Chao  ZHANG Hong  WAN Fan  TANG Yi-xian  MU Xiang-ping
Institution:1. Graduate School of Chinese Academy of Sciences, State Key Laboratory of Remote Sensing, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China ; 2. Beijing High-Tech Institute, Beijing 100055, China; 3. China Remote Sensing Ground Station, Chinese Academy of Sciences, Beijing 100086, China
Abstract:Automatic detection of oil tanks in Remote Sensing image is very important to computer-aid cartography.Automatic oil tank Detection algorithm not only improves recognizable ratio but also lows recognizable time by making use of improved Romanized Hough Transform(RHT),improved Canny algorithm and Template Matching algorithm.At the same time,the proposed method resolves the problem of choosing proper templates in template matching process,and reduces the computational complexity of RHT.Experiments show recognizable ratio is more than 80% with our new method,which exceeds 75%.And it meets application claims on the recognizable speed.
Keywords:RHT
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