摘要
由于土地重度污染区域分布具有不确定性,导致在遥感测绘数据整合过程中,污染区域数据整合碎片化严重,进而降低全局数据整合度。为获得更好整合效果,提升土地重度污染区域测绘数据整合度,采用遥感聚焦技术对其整合遥感数据建立模型。通过土地重度污染区域信息网格与编码、遥感整合碎片降维优化、非均衡测绘数据聚焦整合建立模型。在仿真数据环境下,测试模型效果,结果表明三组整合模型的整合度中,基于遥感聚焦技术的整合度能够达到98.7%,整合效果最好,证明遥感聚焦技术具有提升改善测绘数据整合效果的作用。
Due to the uncertainty of the distribution of severely polluted areas,the data integration of polluted areas is seriously fragmented in the process of remote sensing surveying and mapping data integration,thus reducing the global data integration degree.In order to obtain better integration effect and improve the integration degree of surveying and mapping data in heavily polluted areas,remote sensing focusing technology is adopted to establish a model for the integration of remote sensing data.The model was established through information grid and coding of heavily polluted areas,dimension reduction optimization of integrated remote sensing fragments,and focused integration of unbalanced mapping data.The model effect is tested in the simulation data environment.The results show that:among the integration degree of the three groups of integration models,the integration degree based on remote sensing focusing technology can reach 98.7%,and the integration effect is the best.It proves that remote sensing focusing technology can improve the integration effect of surveying and mapping data.
作者
王克明
白文洪
Wang Keming;Bai Wenhong(Xining Land Survey and Planning Research Institute Co., Ltd., Xining 810001, China;Qinghai Bureau of Environmental Geology Exploration, Xining 810000, China)
出处
《环境科学与管理》
CAS
2022年第7期72-76,共5页
Environmental Science and Management
关键词
遥感聚焦技术
测绘
数据
整合模型
remote sensing focus technology
mapping
data
integration model
