Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96657
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorShi, W-
dc.creatorZhang, M-
dc.creatorLv, X-
dc.date.accessioned2022-12-14T01:10:50Z-
dc.date.available2022-12-14T01:10:50Z-
dc.identifier.urihttp://hdl.handle.net/10397/96657-
dc.language.isozhen_US
dc.publisher中华人民共和国国家知识产权局en_US
dc.rightsAssignee: 香港理工大学深圳研究院en_US
dc.titleBuilding change detection method and device, intelligent terminal and storage mediumen_US
dc.typePatenten_US
dc.description.otherinformationInventor name used in this publication: 史文中en_US
dc.description.otherinformationInventor name used in this publication: 张敏en_US
dc.description.otherinformationInventor name used in this publication: 吕旭哲en_US
dc.description.otherinformationTitle in Traditional Chinese: 一種建築物變化檢測方法、裝置、智能終端及存儲介質en_US
dcterms.abstractThe invention discloses a building change detection method and device, an intelligent terminal and a storage medium, and the method comprises the steps of obtaining multi-source data which comprises point cloud data and remote sensing image data; preprocessing the point cloud data and the remote sensing image data to obtain normalized DSM data, gray scale normalized DSM data and target remote sensing image data; obtaining a building probability graph based on the gray scale normalization DSM data and the target remote sensing image data; and obtaining a building change detection result based on the normalized DSM data and the building probability graph. The scheme of the invention is beneficial for improving the accuracy of building change detection.-
dcterms.abstract本发明公开了一种建筑物变化检测方法、装置、智能终端及存储介质,其中,上述建筑物变化检测方法包括:获取多源数据,其中,上述多源数据包括点云数据和遥感影像数据;对上述点云数据和上述遥感影像数据进行预处理,获取归一化DSM数据、灰度归一化DSM数据和目标遥感影像数据;基于上述灰度归一化DSM数据和上述目标遥感影像数据获取建筑物概率图;基于上述归一化DSM数据和上述建筑物概率图,获取建筑物变化检测结果。本发明方案有利于提升建筑物变化检测的准确性。-
dcterms.accessRightsopen accessen_US
dcterms.alternative一种建筑物变化检测方法、装置、智能终端及存储介质-
dcterms.bibliographicCitation中国专利 ZL 202110038829.0-
dcterms.issued2021-11-30-
dc.description.countryChina-
dc.description.validate202212 bcch-
dc.description.oaVersion of Recorden_US
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