Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7310
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorHan, P-
dc.creatorGong, J-
dc.creatorLi, ZL-
dc.date.accessioned2015-11-10T08:32:39Z-
dc.date.available2015-11-10T08:32:39Z-
dc.identifier.issn1000-050X-
dc.identifier.urihttp://hdl.handle.net/10397/7310-
dc.language.isozhen_US
dc.publisher武汉大学期刋社en_US
dc.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。en_US
dc.rights© 2008 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.subjectScale in remote sensingen_US
dc.subjectChoice of optimal spatial scaleen_US
dc.subjectVariogramen_US
dc.subjectDivergenceen_US
dc.title基于信息熵的遥感分类最优空间尺度选择方法en_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: 韩鹏en_US
dc.description.otherinformationAuthor name used in this publication: 龚健雅en_US
dc.identifier.spage676-
dc.identifier.epage679-
dc.identifier.volume33-
dc.identifier.issue7-
dcterms.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。-
dcterms.abstractThe 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.-
dcterms.accessRightsopen accessen_US
dcterms.alternativeA new approach for choice of optimal spatial scale in image classification based on entropy-
dcterms.bibliographicCitation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-
dcterms.isPartOf武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University)-
dcterms.issued2008-
dc.identifier.scopus2-s2.0-50649099428-
dc.identifier.eissn1671-8860-
dc.identifier.rosgroupidr44340-
dc.description.ros2008-2009 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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