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Big LIDAR Data in Digital Earth: Ways Out of Dead Endстатья
- Автор: Рыльский И.А.
- Сборник: Proceedings of the 30th International Conference on Computer Graphics and Machine Vision
- Том: 2744
- Год издания: 2020
- Место издания: CEUR Workshop Proceedings Saint Petersburg, Russia, September 22-25, http://ceur-ws.org/Vol-2744/
- Первая страница: 46-1
- Последняя страница: 46-10
- DOI: 10.51130/graphicon-2020-2-3-46
- Аннотация: During past 25 years, laser scanning has evolved from an experimental method into a fully autonomous family of Earth remote sensingmethods. Now this group of methods provides the most accurate and detailed spatial data sets, while the cost of data is constantly falling, the number of measuring instruments (laser scanners) is constantly growing. Thevolumes of data that will be obtained during the surveys in the coming decades will allow the creation of the first sub-global coverage of the planet.However, the flip side of high accuracy and detail is the need to store fantastically large volumes of three-dimensional data without loss of accuracy.At the same time, the ability to work with the specified data in both 2D and3D mode should be improved. Standard storage methods (file method, geodatabases, archiving, etc) solve the problem only partially. At the sametime, there are some other alternative methods that can remove current restrictions and lead to the emergence of more flexible and functional spatialdata infrastructures. One of the most flexible and promising ways of laserdata storage and processing are quadtree and octree-based approaches. Ofcourse, these approaches are more complicated than typical file data structures, that are commonly used for LIDAR data storage, but they allow usersto solve some typical negative features of point datasets (processing speed,non-topological spatial structure, limited precision, etc.).
- Добавил в систему: Рыльский Илья Аркадьевич