Research and application of UAV-based hyperspectral remote sensing for smart city construction

被引：0
|
作者：
Yang, Boxiong [1 ,2 ]
Wang, Shunmin [1 ,2 ]
Li, Shelei [1 ,2 ]
Zhou, Bo [1 ,2 ]
Zhao, Fujun [1 ,2 ]
Ali, Faizan [1 ]
He, Hui [3 ]
机构：
[1] School of Information & Intelligence Engineering, University of Sanya, Sanya,572022, China
[2] Academician Guoliang Chen Team Innovation Center, University of Sanya, Sanya,572022, China
[3] Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai,519087, China
来源：
Cognitive Robotics | 2022年 / 2卷
关键词：
Aerial photography - Antennas - Classification (of information) - Data acquisition - Image enhancement - Remote sensing - Unmanned aerial vehicles (UAV);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Hyperspectral remote sensing has been an important technical means to obtain more refined information and provide rich, accurate, and reasonable data for the quantitative analysis and delicacy management of a smart city. To better understand and use the hyperspectral data to help the construction of a digital city, the study of the feature and characteristics of hyperspectral remote sensing images is introduced in this paper. Then how to collect the hyperspectral information of urban ground objects through the unmanned aerial vehicle (UAV) and hyperspectral imager was described, which greatly improves the efficiency of urban data acquisition. Finally, various application cases of UAV-based hyperspectral remote sensing and deep information mining of urban ground objects were analyzed and discussed in detail, such as terrain classification, urban greening analysis, etc. The research result shows that airborne hyperspectral imagery (HIS) has unique advantages over color photography and multispectral remote sensing, with a richer and higher level of spectral details and physical & chemical properties. © 2022
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页码：255 / 266
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