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遥感技术与应用  2002, Vol. 17 Issue (3): 162-166    DOI: 10.11873/j.issn.1004-0323.2002.3.162
图像处理     
纹理特征在SAR图像变化检测中的应用
陈志鹏,邓 鹏,种劲松,王宏琦
(中国科学院电子学研究所,北京  100080)
Application of Textural Features to Change
Detection in SAR Image
CHEN Zhi-peng, DENG Peng, CHONG Jin-song, WANG Hong-qi
(Institute of Electronics,Chinese Academy of Sciences,Beijing100080,China)
 全文: PDF 
摘要:

城区变化检测可以提供大量关于土地利用和城市发展的信息,是变化检测技术的重要应用之一。根据合成孔径雷达(SAR)图像特点,针对城区环境的特定应用,提出了纹理差值变化检测方法。该方法采用纹理特征代替灰度信息来体现图像特点,并使用差值变化检测来获取城区变化情况。实验结果表明,对于大多数特征,纹理差值法获得了较高的变化检测正确率,检测性能有了大幅度的提高。

关键词: 变化检测纹理特征合成孔径雷达    
Abstract:

 Urban change detection that can provide plenty of information about land use and urban development is one of the important applications of change detection techniques. Aiming at the special use on urban environment, a change detection method of image differencing based on textural features is presented according to the characteristics of Synthetic Aperture Radar(SAR) image in this paper. The texture differencing change detection method substitutes textural features for gray information to represent the characteristics of images and gets urban change status through differencing change detection.The experimental result shows that a higher change detect accuracy can be obtained through the texture differencing method than through the traditional image differencing method based on gray level for most features, and an obvious improvement on detect performance also can be obtained through this new method.

Key words: Change detection    Textural feature    Synthetic aperture radar
收稿日期: 2002-04-24 出版日期: 2011-11-21
:  TP 75  
作者简介: 陈志鹏(1976-),男,硕士生,研究方向为信号与信息处理。
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引用本文:

陈志鹏,邓 鹏,种劲松,王宏琦. 纹理特征在SAR图像变化检测中的应用[J]. 遥感技术与应用, 2002, 17(3): 162-166.

CHEN Zhi-peng, DENG Peng, CHONG Jin-song, WANG Hong-qi. Application of Textural Features to Change
Detection in SAR Image. Remote Sensing Technology and Application, 2002, 17(3): 162-166.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2002.3.162        http://www.rsta.ac.cn/CN/Y2002/V17/I3/162

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