浏览全部资源
扫码关注微信
纸质出版日期： 2019-11 ，
录用日期： 2019-11-15
扫 描 看 全 文
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
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。
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.
无人机(UAV)遥感应用大众化遥感+发展趋势
UAVremote sensing applicationpopular applicationremote sensing +development trend
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
相关作者
相关机构
京公网安备11010802024621