CESIUM-MRS: A CESIUM-BASED PLATFORM FOR VISUALIZING MULTI-SOURCE REMOTE SENSING DATA
| Autor: | C. Liu, B. Song, M. Fu, X. Meng, Y. Zhao, X. Wang, X. Li, Z. Liu, Y. Han |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-5-W1-2023, Pp 15-19 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1682-1750 2194-9034 |
| DOI: | 10.5194/isprs-archives-XLVIII-5-W1-2023-15-2023 |
| Popis: | Remote sensing data is a primary means of obtaining information about the Earth's surface, widely used in various fields such as geographic information, natural resource management, urban planning, and environmental monitoring. However, due to the large volume and high complexity of remote sensing image data obtained from satellites, drones, and other equipment, efficient processing of this data and visualization of the results have become important issues. This paper presents a Cesium-based platform for visualizing multi-source remote sensing data, aimed at contributing to urban development efforts and providing additional insights for surveying education.This platform allows users to intuitively understand the spatial distribution and dynamic changes of remote sensing data. It not only integrates different types of remote sensing data into a unified 3D scene but also allows users to interact with the data according to their needs. A Cesium-based urban visualization platform was developed to display the geographic location of a specific region in Hong Kong and provide spatial measurement functions. This platform has wider applications in surveying and mapping education, as it can incorporate more remote sensing and geospatial data, allowing for increased student-teacher interaction and helping students better understand surveying and mapping concepts.Focusing on the construction of smart cities, the platform improves spatial awareness and interactivity for urban planning and management. Moreover, the platform has great potential in surveying and mapping education, providing a more immersive learning experience for students and cultivating talents in the field. |
| Databáze: | Directory of Open Access Journals |
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