Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7310
Title: 基于信息熵的遥感分类最优空间尺度选择方法
Other Titles: A new approach for choice of optimal spatial scale in image classification based on entropy
Authors: Han, P
Gong, J
Li, ZL 
Keywords: Scale in remote sensing
Choice of optimal spatial scale
Variogram
Divergence
Issue Date: 2008
Publisher: 武汉大学期刋社
Source: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), July 2008, v. 33, no. 7, p. 676-679 How to cite?
Journal: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University) 
Abstract: 以影像分类为例,从类别可分性的角度提出了基于信息熵的最优空间尺度选择方法。实验结果表明,基于信息熵的最优尺度选择方法的结果有很好的合理性,符合实际的分类结果,能够在一定程度上指导实际遥感分类中的空间尺度选择。
The existing methods for choice of optimal spatial scale are evaluated.It is pointed out that these are some methods based on statistics.However,these methods have not taken into account the spatial distribution.A new approach based on information entropy is introduced to select an optimal spatial scale in image classification.An experimental evaluation is also conducted.Results show that the new approach is more meaningful than traditional one.The proposed method will be useful for a variety of scale-related land cover classification tasks.
URI: http://hdl.handle.net/10397/7310
ISSN: 1000-050X
EISSN: 1671-8860
Rights: © 2008 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2008 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
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