UAV remote sensing: Popularization and expand application development trend

被引：0
作者：
Liao X. [1 ]
Xiao Q. [2 ]
Zhang H. [2 ]
机构：
[1] State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing
[2] State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
来源：
Yaogan Xuebao/Journal of Remote Sensing | 2019年 / 23卷 / 06期
关键词：
Development trend; Popular application; Remote sensing +; Remote sensing application; UAV;
D O I：
10.11834/jrs.20199422
中图分类号：
学科分类号：
摘要：
At present, every country in the field of remote sensing is increasing investment, and satellite data resources are increasingly rich. With the development and in-depth application of big data and other cutting-edge technologies, remote sensing has been fully applied at the macro level, and is an important data source for global change and earth system science research. China has become a big remote sensing country in the world. The implementation of high-resolution project marks the civil space remote sensing entering the sub-meter era. However, due to the contradiction between spatial resolution and revisit period, the availability of high-resolution satellite data can not meet some growing application needs. The application of remote sensing in China is still at the macro level, dominated by government departments and users at all levels of government. Remote sensing has not yet been implemented to meet a large number of micro and public specific applications. The emergence and rapid development of UAV remote sensing has played a very good role in promoting the application of remote sensing. UAV remote sensing has high scientific value in the refinement of regional information, with the characteristics of high spatial resolution, high frequency and high cost performance. It can complement the satellite remote sensing ability, alleviate the contradiction between high spatial resolution and time resolution, and on the basis of low cost It realizes the dialectical unity of space and time. At present, the development of UAV remote sensing is still in the primary stage, but it presents some unique application prospects, especially the rapid development of UAV " remote sensing +" application. At the same time, there are many problems in policy, technology and method in the process of development. At the same time of summarizing the future development trend of UAV, this paper puts forward some suggestions on the development of UAV remote sensing from the aspects of policy, technology and application. © 2019, Science Press. All right reserved.
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页码：1046 / 1052
页数：6
相关论文
共 18 条
  • [1] Cao J.J., Leng W.C., Liu K., Liu L., He Z., Zhu Y.H., Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models, Remote Sensing, 10, 1, (2018)
  • [2] Chen J., Liao A.P., Chen J., Peng S., Chen L.J., Zhang H.W., 30-meter global land cover data product-GlobeLand30, Geomatics World, 24, 1, pp. 1-8, (2017)
  • [3] Fan B.K., Zhang R.Y., Unmanned aircraft system and artificial intelligence, Geomatics and Information Science of Wuhan University, 42, 11, pp. 1523-1529, (2017)
  • [4] Gong P., Liu H., Zhang M.N., Li C.C., Wang J., Huang H.B., Clinton N., Ji L.Y., Bai Y.Q., Chen B., Xu B., Zhu Z.L., Yuan C., Suen H.P., Guo J., Xu N., Li W.J., Zhao Y.Y., Yang J., Yu C.Q., Wang X., Fu H.H., Yu L., Dronova I., Hui F.M., Cheng X., Shi X.L., Xiao F.J., Liu Q.F., Song L.C., Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017, Science Bulletin, 64, 6, pp. 370-373, (2019)
  • [5] Guo H.D., Chen F., Qiu Y.B., Development of earth observation over the past half century and future direction, Bulletin of the Chinese Academy of Sciences, pp. 7-16, (2013)
  • [6] Li J., Wang C.Y., Kang X.J., Zhao Q., Camera localization for augmented reality and indoor positioning: a vision-based 3D feature database approach, International Journal of Digital Earth, (2019)
  • [7] Li T., Zhang B.G., Cheng X., Westoby M.J., Li Z.H., Ma C., Hui F.M., Shokr M., Liu Y., Chen Z.Q., Zhai M.X., Li X.Q., Resolving fine-scale surface features on polar sea ice: a first assessment of UAS photogrammetry without ground control, Remote Sensing, 11, 7, (2019)
  • [8] Liang S.L., Zhang X.T., Xiao Z.Q., Cheng J., Liu Q., Zhao X., GLASS Product, (2014)
  • [9] Liao X.H., Zhou C.H., Development Report on Remote Sensing for Light and Small Uavs, (2015)
  • [10] Lu M., Liao X.H., Yue H.Y., Huang S.F., Xu C.C., Lu H.Y., Bai Y.Q., Determining the distribution of unmanned aerial vehicles airports for the emergency monitoring of floods in China, Journal of Geo-information Science, 21, 6, pp. 854-864, (2019)
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