| 纹理频谱分析的高分辨率遥感影像最佳尺度选择 |
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| 引用本文： | 陈杰,邓敏,肖鹏峰,杨敏华,梅小明,刘慧敏.纹理频谱分析的高分辨率遥感影像最佳尺度选择[J].遥感学报,2011,15(3):492-511. |
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| 作者姓名： | 陈杰 邓敏 肖鹏峰 杨敏华 梅小明 刘慧敏 |
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| 作者单位： | 1. 中南大学,测绘与国土信息工程系,湖南,长沙,410083
2. 南京大学,地理信息科学系,南京,210093 |
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| 基金项目： | 国家高技术研究发展计划(863计划)(编号：2008AA12Z106)；国家自然科学基金(编号：40801166)；测绘遥感信息工程国家重点实验
室开放基金项目 (编号：09R03)。 |
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| 摘 要： | 基于对纹理频谱的分析提出了一种高分辨率遥感影像最佳尺度的选择方法。首先，分析四种典型地物在傅里
叶变换频域的频谱响应特性。然后，采用点扩散函数对原始影像进行尺度扩展，进而根据地物纹理的径向与角向曲线
随尺度扩展的变化选择最佳尺度。最后，通过分析四种地物在6个尺度下的纹理特征可分性，说明本文方法能客观反映
出地物的尺度效应，具备最佳尺度选择的可行性。利用支持向量机对QuickBird全色影像进行面向对象的分类，实验结
果表明在最佳尺度下可取得较高精度。
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| 关 键 词： | 纹理，频谱分析，尺度扩展，最佳尺度选择 |
| 收稿时间： | 2010/3/29 0:00:00 |
| 修稿时间： | 2010/11/2 0:00:00 |
Optimal spatial scale choosing for high resolution imagery based on
texture frequency analysis |
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| CHEN Jie,DENG Min,XIAO Pengfeng,YANG Minhu,MEI Xiaoming and LIU Huimin.Optimal spatial scale choosing for high resolution imagery based on
texture frequency analysis[J].Journal of Remote Sensing,2011,15(3):492-511. |
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| Authors: | CHEN Jie DENG Min XIAO Pengfeng YANG Minhu MEI Xiaoming and LIU Huimin |
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| Institution: | Department of Surveying and Geo-informatics, Central South University, Hunan, Changsha 410083, China;Department of Surveying and Geo-informatics, Central South University, Hunan, Changsha 410083, China;Department of Geographical Information Science, Nanjing University, Nanjing 210093, China;Department of Surveying and Geo-informatics, Central South University, Hunan, Changsha 410083, China;Department of Surveying and Geo-informatics, Central South University, Hunan, Changsha 410083, China;Department of Surveying and Geo-informatics, Central South University, Hunan, Changsha 410083, China |
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| Abstract: | Choosing the optimal spatial scale is one of the crucial issues in the fi eld of remote sensing. In this paper, an approach,
which is based on texture frequency analysis is proposed to determine the optimal spatial scale for high resolution imagery.
Firstly, four typical geo-objects are used to analyze their frequency properties of the response to the Fourier transform domain.
Secondly, the original image is up-scaled to different spatial resolutions using point spread function. The adequate spatial
scale is chosen according to the change patterns in the radius distribution and angle distribution curves of geo-object texture with
up-scaling. Finally, the separability among four types of geo-objects at six scales is analyzed based on the texture feature to approve
the feasibility of the new method. The object-based classifi cation of the QuickBird panchromatic image by means of SVM
is implemented, and results of experiment demonstrate that the higher accuracy can be obtained at the optimal spatial scale. |
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| Keywords: | texture frequency analysis up-scaling choosing of optimal spatial scale |
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