{"title":"使用数字地图数据的卫星图像配准的地面控制测定","authors":"A. C. Morris, A. Stevens, J. Muller","doi":"10.1111/J.1477-9730.1988.TB00631.X","DOIUrl":null,"url":null,"abstract":"Work is reported on the production of terrain elevation data from SPOT imagery. An important step in this process is determination of exterior orientation parameters for the images. Although an initial estimate is available in the SPOT header, refinements are required based on plan and height data. These are generally derived from photogrammetric measurements (or sources such as global positioning satellite systems), but accurate manual determination is time consuming. \n \n \n \nThis paper reports an alternative approach by investigating the use of existing map data (located on the earth's surface and in a known projection) to find corresponding “ground control points” in both map and image. Available maps may be in digital or paper form depending on the state of development of mapping in the part of the world being studied. The last revision date and the cartographic generalisation employed will also effect the fidelity of the final result. Practical semi-automatic techniques for determining the height of ground control points from existing map data are described, including multiple profiles through digitised contour data, a commercial terrain modelling package based on Delaunay triangulation and the use of triangulation points on prominent features. \n \n \n \nComparisons between the methods are made and results obtained are compared with Institut Geographique National datasets and photogrammetric measurements. Methods for fully automating not only the height determination but also the location of ground control features within a map database are discussed. Map and image registration is described and illustrated using Laser-Scan's Rover software. Interactive and automated methods of registration are discussed.","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":"12 1","pages":"809-822"},"PeriodicalIF":2.1000,"publicationDate":"2006-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/J.1477-9730.1988.TB00631.X","citationCount":"2","resultStr":"{\"title\":\"GROUND CONTROL DETERMINATION FOR REGISTRATION OF SATELLITE IMAGERY USING DIGITAL MAP DATA\",\"authors\":\"A. C. Morris, A. Stevens, J. Muller\",\"doi\":\"10.1111/J.1477-9730.1988.TB00631.X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Work is reported on the production of terrain elevation data from SPOT imagery. An important step in this process is determination of exterior orientation parameters for the images. Although an initial estimate is available in the SPOT header, refinements are required based on plan and height data. These are generally derived from photogrammetric measurements (or sources such as global positioning satellite systems), but accurate manual determination is time consuming. \\n \\n \\n \\nThis paper reports an alternative approach by investigating the use of existing map data (located on the earth's surface and in a known projection) to find corresponding “ground control points” in both map and image. Available maps may be in digital or paper form depending on the state of development of mapping in the part of the world being studied. The last revision date and the cartographic generalisation employed will also effect the fidelity of the final result. Practical semi-automatic techniques for determining the height of ground control points from existing map data are described, including multiple profiles through digitised contour data, a commercial terrain modelling package based on Delaunay triangulation and the use of triangulation points on prominent features. \\n \\n \\n \\nComparisons between the methods are made and results obtained are compared with Institut Geographique National datasets and photogrammetric measurements. Methods for fully automating not only the height determination but also the location of ground control features within a map database are discussed. Map and image registration is described and illustrated using Laser-Scan's Rover software. Interactive and automated methods of registration are discussed.\",\"PeriodicalId\":56094,\"journal\":{\"name\":\"Photogrammetric Record\",\"volume\":\"12 1\",\"pages\":\"809-822\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2006-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/J.1477-9730.1988.TB00631.X\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Photogrammetric Record\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1111/J.1477-9730.1988.TB00631.X\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetric Record","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1111/J.1477-9730.1988.TB00631.X","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
GROUND CONTROL DETERMINATION FOR REGISTRATION OF SATELLITE IMAGERY USING DIGITAL MAP DATA
Work is reported on the production of terrain elevation data from SPOT imagery. An important step in this process is determination of exterior orientation parameters for the images. Although an initial estimate is available in the SPOT header, refinements are required based on plan and height data. These are generally derived from photogrammetric measurements (or sources such as global positioning satellite systems), but accurate manual determination is time consuming.
This paper reports an alternative approach by investigating the use of existing map data (located on the earth's surface and in a known projection) to find corresponding “ground control points” in both map and image. Available maps may be in digital or paper form depending on the state of development of mapping in the part of the world being studied. The last revision date and the cartographic generalisation employed will also effect the fidelity of the final result. Practical semi-automatic techniques for determining the height of ground control points from existing map data are described, including multiple profiles through digitised contour data, a commercial terrain modelling package based on Delaunay triangulation and the use of triangulation points on prominent features.
Comparisons between the methods are made and results obtained are compared with Institut Geographique National datasets and photogrammetric measurements. Methods for fully automating not only the height determination but also the location of ground control features within a map database are discussed. Map and image registration is described and illustrated using Laser-Scan's Rover software. Interactive and automated methods of registration are discussed.
期刊介绍:
The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline.
Relevant topics include, but are not restricted to:
- Photogrammetric sensor calibration and characterisation
- Laser scanning (lidar)
- Image and 3D sensor technology (e.g. range cameras, natural user interface systems)
- Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification)
- Mobile mapping and unmanned vehicular systems (UVS; UAVs)
- Registration and orientation
- Data fusion and integration of 3D and 2D datasets
- Point cloud processing
- 3D modelling and reconstruction
- Algorithms and novel software
- Visualisation and virtual reality
- Terrain/object modelling and photogrammetric product generation
- Geometric sensor models
- Databases and structures for imaging and 3D modelling
- Standards and best practice for data acquisition and storage
- Change detection and monitoring, and sequence analysis