Remote sensing mapping is an important research direction in the development of geographic surveying and mapping.In order to successfully implement the project of Mapping Western China(MWC),a technical mapping system ...Remote sensing mapping is an important research direction in the development of geographic surveying and mapping.In order to successfully implement the project of Mapping Western China(MWC),a technical mapping system has been established.In this project,many problems have been solved through technological innovation,such as block adjustment with scarce control points,large-scale aerial/satellite image mapping,and intelligent interpretation of multi-source images.Several softwares were developed,e.g.PixelGrid for aerial/satellite image mapping in a large area,FeatureStation for the integration of multi-source data in the complex terrain areas,and an airborne multi-band and multi-polarization interferometric data acquisition system for SAR mapping.For the first time,full coverage of 1:50,000 topographic data of China’s land territory has been produced,which means the geospatial framework of digital China is basically completed.With the implementation of other key national plans and projects(i.e.national geographic conditions monitoring and national remote sensing mapping),the focus has changed from MWC to national dynamic mapping.Accordingly,a dynamic mapping system is established.The data acquisition capability has developed from a single source to multiple sources and multiple modalities.The mapping capability has developed into dynamic mapping,and the capability for database update shows the characteristics of collaboration.The national geographic condition monitoring creates a multi-scale index system for statistical analysis for various needs.A multi-level and multi-dimensional technical system for statistical computing and decision-making service is developed for the transformation from dynamic monitoring to information service.In this paper,we give a brief introduction about the recent development of remote sensing mapping in China with respect to data acquisition,map production,and information service.The purpose of this paper is to motivate the establishment of theory and method for remote sensing mapping,technical and equipment in the smart mapping era,to improve the capability of perceiving,analyzing,mining,and applying geographic data,and to promote the intelligent development of geographic surveying and mapping.展开更多
Metadata information and catalogue services are major ways of making satellite images findable and accessible.Spatio-temporal indexing is the key to ensuring efficient searches.Because spatial information and temporal...Metadata information and catalogue services are major ways of making satellite images findable and accessible.Spatio-temporal indexing is the key to ensuring efficient searches.Because spatial information and temporal information are usually independently maintained and indexed,the image retrieval process has to include two search steps:a spatial query and a temporal query.As most Earth Observation satellites are specially designed to have repeating sun-synchronous orbits(RSSO),this type of satellite data has a close correlation between its spatial coverage and temporal coverage information.In this paper,an integrated spatiotemporal indexing mechanism is proposed for RSSO satellites.The spatio-temporal Look-Up Table(st-LUT)that serves as the index reflects the coupled correlation between the spatial and temporal coverage information within one orbit revisiting cycle.Image retrieval algorithms are designed based on the st-LUT.In this study,1,765,797 Landsat 8 scenes collected from 28 June 2013 to 31 December 2019 data are used to establish and validate the proposed indexing mechanism and search algorithms.Because this new method only need to focus on the changes of the spatial and temporal coverage over the time in one orbit revisiting cycle,the spatial search space is limited to the fixed number of grids.Therefore,the search algorithm is at a constant level.Its performance is not related to the volume of the images that need to search.展开更多
基金This work is supported by the National Natural Science Foundation of China[grant numbers 41701506 and 41671440].
文摘Remote sensing mapping is an important research direction in the development of geographic surveying and mapping.In order to successfully implement the project of Mapping Western China(MWC),a technical mapping system has been established.In this project,many problems have been solved through technological innovation,such as block adjustment with scarce control points,large-scale aerial/satellite image mapping,and intelligent interpretation of multi-source images.Several softwares were developed,e.g.PixelGrid for aerial/satellite image mapping in a large area,FeatureStation for the integration of multi-source data in the complex terrain areas,and an airborne multi-band and multi-polarization interferometric data acquisition system for SAR mapping.For the first time,full coverage of 1:50,000 topographic data of China’s land territory has been produced,which means the geospatial framework of digital China is basically completed.With the implementation of other key national plans and projects(i.e.national geographic conditions monitoring and national remote sensing mapping),the focus has changed from MWC to national dynamic mapping.Accordingly,a dynamic mapping system is established.The data acquisition capability has developed from a single source to multiple sources and multiple modalities.The mapping capability has developed into dynamic mapping,and the capability for database update shows the characteristics of collaboration.The national geographic condition monitoring creates a multi-scale index system for statistical analysis for various needs.A multi-level and multi-dimensional technical system for statistical computing and decision-making service is developed for the transformation from dynamic monitoring to information service.In this paper,we give a brief introduction about the recent development of remote sensing mapping in China with respect to data acquisition,map production,and information service.The purpose of this paper is to motivate the establishment of theory and method for remote sensing mapping,technical and equipment in the smart mapping era,to improve the capability of perceiving,analyzing,mining,and applying geographic data,and to promote the intelligent development of geographic surveying and mapping.
基金supported by National Key Research and Development Program of China:[grant number 2019YFE0126400].
文摘Metadata information and catalogue services are major ways of making satellite images findable and accessible.Spatio-temporal indexing is the key to ensuring efficient searches.Because spatial information and temporal information are usually independently maintained and indexed,the image retrieval process has to include two search steps:a spatial query and a temporal query.As most Earth Observation satellites are specially designed to have repeating sun-synchronous orbits(RSSO),this type of satellite data has a close correlation between its spatial coverage and temporal coverage information.In this paper,an integrated spatiotemporal indexing mechanism is proposed for RSSO satellites.The spatio-temporal Look-Up Table(st-LUT)that serves as the index reflects the coupled correlation between the spatial and temporal coverage information within one orbit revisiting cycle.Image retrieval algorithms are designed based on the st-LUT.In this study,1,765,797 Landsat 8 scenes collected from 28 June 2013 to 31 December 2019 data are used to establish and validate the proposed indexing mechanism and search algorithms.Because this new method only need to focus on the changes of the spatial and temporal coverage over the time in one orbit revisiting cycle,the spatial search space is limited to the fixed number of grids.Therefore,the search algorithm is at a constant level.Its performance is not related to the volume of the images that need to search.
