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特征GIS空间数据模型的语义和应用 被引量:4
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作者 董鹏 张锦 《太原理工大学学报》 CAS 2000年第3期246-250,共5页
通过对特征概念的描述 ,探讨了特征 GIS空间数据模型的特征语义和应用 ,并初步研究了利用面向对象方法对特征 GIS数据模型的实现 ,认为特征 GIS模型相对于传统的基于图层的地理关系模型 。
关键词 地理信息系统 特征数据模型 空间数据模型
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Modified multiple-component scattering power decomposition for PolSAR data based on eigenspace of coherency matrix
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作者 ZHANG Shuang WANG Lu WANG Wen-Qing 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2024年第4期572-581,共10页
A modified multiple-component scattering power decomposition for analyzing polarimetric synthetic aperture radar(PolSAR)data is proposed.The modified decomposition involves two distinct steps.Firstly,ei⁃genvectors of ... A modified multiple-component scattering power decomposition for analyzing polarimetric synthetic aperture radar(PolSAR)data is proposed.The modified decomposition involves two distinct steps.Firstly,ei⁃genvectors of the coherency matrix are used to modify the scattering models.Secondly,the entropy and anisotro⁃py of targets are used to improve the volume scattering power.With the guarantee of high double-bounce scatter⁃ing power in the urban areas,the proposed algorithm effectively improves the volume scattering power of vegeta⁃tion areas.The efficacy of the modified multiple-component scattering power decomposition is validated using ac⁃tual AIRSAR PolSAR data.The scattering power obtained through decomposing the original coherency matrix and the coherency matrix after orientation angle compensation is compared with three algorithms.Results from the experiment demonstrate that the proposed decomposition yields more effective scattering power for different PolSAR data sets. 展开更多
关键词 PolSAR data model-based decomposition eigenvalue decomposition scattering power
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