Paper
10 February 2023 Research on the dynamic overlay of remote sensing image in AutoCAD
Yu Zhang, Jing Ming
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255221 (2023) https://doi.org/10.1117/12.2667544
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
In AutoCAD-based survey production process, it is usually necessary to overlay remote sensing images to carry out multi-source data fusion applications, and traditional methods are too cumbersome, low automation, and lack data security and sharing to effectively meet demand. In order to solve this problem, this paper proposes a novel remote sensing image dynamic superimposed method in AutoCAD, which will comply with the OGC standard network map tile service as an image data source. According to the view changes, depending on the user interaction, the level and range of image are calculated in real time and desired image tiles are requested from network, and these tiles are drawn with the overrule mechanism of AutoCAD. Applications in the actual survey project in Chongqing show that this method provides an efficient and feasible solution for overlaying remote sensing image data in AutoCAD.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Zhang and Jing Ming "Research on the dynamic overlay of remote sensing image in AutoCAD", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255221 (10 February 2023); https://doi.org/10.1117/12.2667544
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KEYWORDS
Remote sensing

Data acquisition

Raster graphics

Computer security

Geographic information systems

Image processing

Image storage

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