| 基于信息熵的遥感分类最优空间尺度选择方法 |
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| 引用本文： | 韩鹏, 龚健雅, 李志林. 基于信息熵的遥感分类最优空间尺度选择方法[J]. 武汉大学学报 ( 信息科学版), 2008, 33(7): 676-679. |
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| 作者姓名： | 韩鹏 龚健雅 李志林 |
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| 作者单位： | 1武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079;2香港理工大学土地测量及地理资讯学系,香港九龙红磡 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 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。
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| 关 键 词： | 遥感尺度 最优空间尺度选择 变异函数 离散度 |
| 收稿时间： | 2008-05-10 |
| 修稿时间： | 2008-05-10 |
A New Approach for Choice of Optimal Spatial Scale in Image Classification Based on Entropy |
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| HAN Peng, GONG Jianya, LI Zhilin. A New Approach for Choice of Optimal Spatial Scale in Image Classification Based on Entropy[J]. Geomatics and Information Science of Wuhan University, 2008, 33(7): 676-679. |
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| Authors: | HAN Peng GONG Jianya LI Zhilin |
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| Affiliation: | 1State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,Wuhan 430079,China;2Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Kowloon,Hong Kong |
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| Abstract: | 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. |
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| Keywords: | scale in remote sensing choice of optimal spatial scale variogram divergence |
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