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遥感技术与应用  2013, Vol. 28 Issue (1): 78-84    DOI: 10.11873/j.issn.1004-0323.2013.1.78
图像与数据处理     
基于PCA与HIS模型的高分辨率遥感影像阴影检测研究
刘 辉,谢天文
(福州大学环境与资源学院,福建 福州 350002)
Study on Shadow Detection in High Resolution Remote Sensing Image of PCA and HIS Model
Liu Hui,Xie Tianwen
(College of Environment and Resources,Fuzhou University,Fuzhou 350002,China)
 全文: PDF(3482 KB)  
摘要:

根据高分辨率遥感影像阴影区域的性质,基于主成分变换和HIS模型,提出一种检测阴影的阴影指数SI(Shadow Index)。选取两个试验区,分别采用Polidorio算法、归一化阴影指数(NDUI)和SI进行阴影检测和比较分析,结果表明SI能够有效地区分阴影区域与水体和偏蓝色地物。提取3种算法的直方图得出,SI图像的直方图具有两个波峰一个波谷形状,能够更好地采用直方图阈值法分割阴影区和非阴影区。实验表明该方法简单有效。

关键词: 高分辨率遥感影像主成分变换HIS模型阴影检测    
Abstract:

According to the Shadow characteristic in high resolution remote sensing image,a new Shadow Index (Shadow Index,SI) on Shadow detection is proposed based on principal component transformation and HIS model.Polidorio algorithm,NDUI and SI were used in 2 test areas,and the results showed that the SI can effectively distinguish shadow region with water and partial blue objects.The histogram of three algorithm shows that SI histogram shaped two wave peaks and a wave trough,which is helpful for the histogram threshold value method that divided the area into the shadow area and none shadow area.The experimental results indicate that the new shadow index is simple and effective.

Key words: High resolution remote sensing image    PCA    HIS model    Shadow detection
收稿日期: 2012-04-23 出版日期: 2013-06-21
:  TP 75  
基金资助:

福建省自然科学基金项目(2011J05109),福州大学科技发展基金(2010-XY-10(0060-600116))。

作者简介: 刘辉(1981-),男,安徽六安人,讲师,博士,主要从事土地利用规划和土地信息技术研究。Email:liuhui_fzu@163.com。
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引用本文:

刘 辉,谢天文. 基于PCA与HIS模型的高分辨率遥感影像阴影检测研究[J]. 遥感技术与应用, 2013, 28(1): 78-84.

Liu Hui,Xie Tianwen. Study on Shadow Detection in High Resolution Remote Sensing Image of PCA and HIS Model. Remote Sensing Technology and Application, 2013, 28(1): 78-84.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.1.78        http://www.rsta.ac.cn/CN/Y2013/V28/I1/78

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