UAV remote sensing: Popularization and expand application development trend

Xiaohan LIAO; Qing XIAO; Hao ZHANG

doi:10.11834/jrs.20199422

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UAV remote sensing: Popularization and expand application development trend
Vol. 23, Issue 6, Pages: 1046-1052(2019)
Published： 2019-11 ，

Accepted： 15 November 2019
DOI： 10.11834/jrs.20199422

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廖小罕, 肖青, 张颢. 2019. 无人机遥感：大众化与拓展应用发展趋势. 遥感学报, 23(6): 1046–1052

Liao X H, Xiao Q and Zhang H. 2019. UAV remote sensing: Popularization and expand application development trend. Journal of Remote Sensing, 23(6): 1046–1052
廖小罕, 肖青, 张颢. 2019. 无人机遥感：大众化与拓展应用发展趋势. 遥感学报, 23(6): 1046–1052 DOI： 10.11834/jrs.20199422.

Liao X H, Xiao Q and Zhang H. 2019. UAV remote sensing: Popularization and expand application development trend. Journal of Remote Sensing, 23(6): 1046–1052 DOI： 10.11834/jrs.20199422.

摘要

当前遥感领域各个国家不断加大投入，星载数据资源日益丰富。伴随大数据等前沿技术的发展与深入应用，遥感在宏观层面上已经得到了较为充分应用，对于全球变化以及地球系统科学研究而言是一个重要的数据源。我国已经成为国际上的遥感大国，高分专项的实施标志着民用航天遥感进入亚米级时代。但是，由于空间分辨率与重访周期之间的矛盾，高分辨率卫星数据的可获得性尚不能满足一些不断增长的应用需求。国内遥感应用尚停留在宏观层面，主导是政府部门，用户也是政府各级部门。遥感在满足大量微观和大众具体应用层面尚没有落地。无人机遥感的出现与快速发展，为促进遥感应用落地起了很好的助推作用，无人机遥感在区域信息精细化上具有高科学价值，具有高空间分辨率、高频次、高性价比等特点，可以与卫星遥感能力形成互补，缓解了高空间分辨率和时间分辨率的矛盾，在低成本的基础上实现了空间和时间的辩证统一。当前无人机遥感的发展尚处于初级阶段，但呈现出一些极具特色的应用前景，尤其是无人机“遥感+”应用发展迅猛。同时，发展过程中也还有诸多政策、技术与方法方面的问题。本文在总结无人机未来发展趋势的同时，对无人机遥感的发展，从政策、技术与应用等层面提出了建议。

Abstract

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.

关键词

无人机(UAV)遥感应用大众化遥感+发展趋势

Keywords

UAVremote sensing applicationpopular applicationremote sensing +development trend

references

Cao J J, Leng W C, Liu K, Liu L, He Z and Zhu Y H. 2018. Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models. Remote Sensing, 10(1): 89

陈军, 廖安平, 陈晋, 彭舒, 陈利军, 张宏伟. 2017. 全球30 m地表覆盖遥感数据产品-GlobeLand30. 地理信息世界, 24(1): 1–8

Chen J, Liao A P, Chen J, Peng S, Chen L J and Zhang H W. 2017. 30-meter global land cover data product-GlobeLand30. Geomatics World, 24(1): 1–8

樊邦奎, 张瑞雨. 2017. 无人机系统与人工智能. 武汉大学学报(信息科学版), 42(11): 1523–1529

Fan B K and Zhang R Y. 2017. Unmanned aircraft system and artificial intelligence. Geomatics and Information Science of Wuhan University, 42(11): 1523–1529

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 and Song L C. 2019. 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): 370–373

郭华东, 陈方, 邱玉宝. 2013. 全球空间对地观测五十年及中国的发展. 中国科学院院刊(S1): 7–16

Guo H D, Chen F and Qiu Y B. 2013. Development of earth observation over the past half century and future direction. Bulletin of the Chinese Academy of Sciences(S1): 7–16

Li J, Wang C Y, Kang X J and Zhao Q. 2019a. Camera localization for augmented reality and indoor positioning: a vision-based 3D feature database approach. International Journal of Digital Earth [DOI: 10.1080/17538947.2018.1564379]

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 and Li X Q. 2019b. Resolving fine-scale surface features on polar sea ice: a first assessment of UAS photogrammetry without ground control. Remote Sensing, 11(7): 784

梁顺林, 张晓通, 肖志强, 程洁, 刘强, 赵祥. 2014. 全球陆表特征参量(GLASS)产品: 算法、验证与分析. 北京: 高等教育出版社

Liang S L, Zhang X T, Xiao Z Q, Cheng J, Liu Q and Zhao X. 2014. GLASS Product. Beijing: Higher Education Press

廖小罕, 周成虎. 2015. 轻小型无人机遥感发展报告. 北京: 科技出版社

Liao X H and Zhou C H. 2015. Development Report on Remote Sensing for Light and Small Uavs. Beijing: Science Press

鹿明, 廖小罕, 岳焕印, 黄诗峰, 徐晨晨, 卢海英, 柏艺琴. 2019. 面向中国洪涝灾害应急监测的无人机空港布局. 地球信息科学学报, 21(6): 854–864

Lu M, Liao X H, Yue H Y, Huang S F, Xu C C, Lu H Y and Bai Y Q. 2019. Determining the distribution of unmanned aerial vehicles airports for the emergency monitoring of floods in China. Journal of Geo-information Science, 21(6): 854–864

童旭东. 2016. 中国高分辨率对地观测系统重大专项建设进展. 遥感学报, 20(5): 775–780

Tong X D. 2016. Development of China high-resolution earth observation system. Journal of Remote Sensing, 20(5): 775–780

Wood K, Richardson T, Schellenberg B, Greatwood C, Watson M, Thomas H, Naismtih A, Liu E, Freer J, Thomas R and Chigna G. 2018. UAV based detection and measurement of volcanic plumes at Volcán de Fuego, Guatemala. Geophysical Research Abstracts, 20: EGU2018-15993

吴炳方, 蒙继华, 李强子, 张飞飞, 杜鑫, 闫娜娜. 2010. " 全球农情遥感速报系统(CropWatch)”新进展. 地球科学进展, 25(10): 1013–1022

Wu B F, Meng J H, Li Q Z, Zhang F F, Du X and Yan N N. 2010. Latest development of " CropWatch”—An global crop monitoring system with remote sensing. Advances in Earth Science, 25(10): 1013–1022

徐晨晨, 廖小罕, 岳焕印, 鹿明, 陈西旺. 2019. 基于改进蚁群算法的无人机低空公共航路构建方法. 地球信息科学学报, 21(4): 570–579

Xu C C, Liao X H, Yue H Y, Lu M and Chen X W. 2019. Construction of a UAV low-altitude public air route based on an improved ant colony algorithm. Journal of Geo-information Science, 21(4): 570–579

徐冠华. 2019. 立足中国走向世界: 对地观测与全球变化文集. 北京: 科学出版社

Xu G H. 2019. Based in China to the World: Earth Observations and Global Change. Beijing: Science Press

许强, 李为乐, 董秀军, 肖先煊, 范宣梅, 裴向军. 2017. 四川茂县叠溪镇新磨村滑坡特征与成因机制初步研究. 岩石力学与工程学报, 36(11): 2612–2628

Xu Q, Li W L, Dong X J, Xiao X X, Fan X M and Pei X J. 2017. The Xinmocun landslide on June 24, 2017 in Maoxian, Sichuan: characteristics and failure mechanism. Chinese Journal of Rock Mechanics and Engineering, 36(11): 2612–2628

晏磊, 廖小罕, 周成虎, 樊邦奎, 龚健雅, 崔鹏, 郑玉权, 谭翔. 2019. 中国无人机遥感技术突破与产业发展综述. 地球信息科学, 21(4): 476–495

Yan L, Liao X H, Zhou C H, Fan B K, Gong J Y, Cui P, Zheng Y Q and Tan X. 2019. The impact of UAV remote sensing technology on the industrial development of China: a review. Journal of Geo-information Science, 21(4): 476–495

Yu N, Li L J, Schmitz N, Tian L F, Greenberg J A and Diers B W. 2016. Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform. Remote Sensing of Environment, 187: 91–101

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