Paper
24 November 2021 A shadow information recovery technology in 3D visualization of urban remote sensing images
Wei-min Hou, Xiao-mei Chen, Jie Zhao, Jiawei Han
Author Affiliations +
Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 1206510 (2021) https://doi.org/10.1117/12.2605021
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
Using high-resolution remote sensing images for 3D modeling of urban buildings is widely common. However, the processing of shadows plays a vital role in 3D visualization, and the shadows in urban areas is more complicated. Hence, the research on shadow restoration is essential. The paper introduces the reconstructed DEM model data as prior knowledge, uses the characteristics of sunlight shadows and shadows in different channels for shadow detection, and finally proposes a shadow compensation method based on the Wallis filter principle and improved logarithmic transformation combined with shadow local enhancement, to compensate the detected shadows.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-min Hou, Xiao-mei Chen, Jie Zhao, and Jiawei Han "A shadow information recovery technology in 3D visualization of urban remote sensing images", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 1206510 (24 November 2021); https://doi.org/10.1117/12.2605021
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KEYWORDS
3D modeling

3D visualizations

Image enhancement

Remote sensing

Image filtering

Information technology

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