Paper
30 August 2023 A software system for evaluating the quality of aerial photographic unreferenced images
Xiaobing Li, Chao Wang, Xiu Liu, Can Zhong, Zhiming Shang
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279719 (2023) https://doi.org/10.1117/12.3007644
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
With the continuous development of UAV technology, aerial photography has become an important means to obtain geographic information. With the wide application of aerial photography image, the evaluation of its quality is becoming more and more important. In the absence of reference images, the image quality comprehensive evaluation model is used to evaluate the image quality without reference. On the basis of selecting each sub-evaluation parameter, the software system puts forward the decision method of comprehensive quality evaluation, and finally gives the comprehensive quality evaluation result. The calculated quality value is consistent with the subjective evaluation. The evaluation results can know the image performance of aerial photography system, the software interface is friendly, stable and practical, has a wide range of application prospects in engineering
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaobing Li, Chao Wang, Xiu Liu, Can Zhong, and Zhiming Shang "A software system for evaluating the quality of aerial photographic unreferenced images", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279719 (30 August 2023); https://doi.org/10.1117/12.3007644
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KEYWORDS
Image quality

Photography

Remote sensing

Image information entropy

Signal to noise ratio

Image storage

Quality systems

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