人工智能对测绘科技若干领域发展的影响研究
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摘要
测绘科技发展已进入一个相对关键的时期,需要从战略层面来考虑如何推动其未来发展。基于对测绘科技发展历史的系统回顾,深刻剖析了测绘科技发展的一般规律,即所处的科学范畴、应用需求、新技术发展是影响和决定测绘科技发展方向的三大关键因素。这一规律是研究确定未来测绘科技发展战略思路的基本遵循。基于此,在重点分析人工智能技术发展趋势及其对测绘科技发展已有影响的基础上,阐述了人工智能与大地测量、地理信息数据获取、地理信息数据处理与应用等技术融合发展下的未来智能化测绘科技发展趋势,提出了传统的野外测量将逐渐被无人驾驶飞机、汽车、轮船以及卫星等智能化的机器所替代的设想,以及实现这一设想需要解决的系列难题。
The development of Surveying and Mapping Science and Technology has entered a relatively critical period. It needs to consider how to promote its future development from the strategic level. Based on a systematic review of the history of the development of Surveying and Mapping Science and Technology, the general law of the development of Surveying and Mapping Science and Technology is deeply analyzed, that is, the scientific category, application demand and new technology development are the three key factors influencing and determining the direction of the development of Surveying and Mapping Science and Technology. This rule is the basic way to study and define the future development strategy of Surveying and Mapping Science and Technology. Based on the analysis of the deve-lopment trend of artificial intelligence technology and its influence on the development of Surveying and Mapping Science and Technology, the future development trend of intelligent Surveying and Mapping Science and Technology under the integration of artificial intelligence and geodetic surveying, geographic information data acquisition, geographic information data processing and application technology is studied and expounded, and a vision is put forword that the traditional field measurement will gradually be replaced by intelligent machines such as unmanned aerial vehicles, automobiles, ships and satellites, and a series of difficult problems to be solved to realize this vision are put forward.
The development of Surveying and Mapping Science and Technology has entered a relatively critical period. It needs to consider how to promote its future development from the strategic level. Based on a systematic review of the history of the development of Surveying and Mapping Science and Technology, the general law of the development of Surveying and Mapping Science and Technology is deeply analyzed, that is, the scientific category, application demand and new technology development are the three key factors influencing and determining the direction of the development of Surveying and Mapping Science and Technology. This rule is the basic way to study and define the future development strategy of Surveying and Mapping Science and Technology. Based on the analysis of the deve-lopment trend of artificial intelligence technology and its influence on the development of Surveying and Mapping Science and Technology, the future development trend of intelligent Surveying and Mapping Science and Technology under the integration of artificial intelligence and geodetic surveying, geographic information data acquisition, geographic information data processing and application technology is studied and expounded, and a vision is put forword that the traditional field measurement will gradually be replaced by intelligent machines such as unmanned aerial vehicles, automobiles, ships and satellites, and a series of difficult problems to be solved to realize this vision are put forward.
引文
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[6] Su Ruoqi. Summary of the Development and Application of Artificial Intelligence[J]. Electronic World, 2018 (3): 84, 86 (苏若祺.人工智能的发展及应用现状综述[J]. 电子世界,2018(3):84,86)
[7] Liu Yawen, Ye Xiaoxin. Using VirtuoZo to Detect the Change Area of Aerial Photograph [J]. Bulletin of Surveying and Mapping, 2000 (10): 16-17(刘亚文,叶晓新.利用VirtuoZo检测航片变化区域[J]. 测绘通报,2000(10):16-17)
[8] Lin Hui, Du Peijun. Digital Photogrammetry System VirtuoZo NT and Quantification of Remote Sensing Information [J]. Bulletin of Surveying and Mapping, 2005 (1): 14-17 (林卉,杜培军. 数字摄影测量系统VirtuoZo NT与遥感信息定量化[J]. 测绘通报,2005(1):14-17)
[9] Sui Yuchuan. Briefly Discussing the Experience of Using VirtuoZo 3.7.5 Digital Photogrammetry System[J].Geomatics & Spatial Information Techno- logy, 2011, 34 (2): 246-247(隋玉川.浅谈使用VirtuoZo 3.7.5 全数字摄影测量系统的几点体会[J].测绘与空间地理信息,2011,34(2):246-247)
[10] Lu Yingxin.Common Problems and Solutions of Aerial Triangulation Based on VirtuoZo[J]. Geomatics & Spatial Information Technology, 2017,40(10): 193-195(路莹新. 基于VirtuoZo进行空中三角测量的常见问题及解决方法[J].测绘与空间地理信息,2017,40(10):193-195)
[11] Liu Jingnan, Gao Kefu. Challenges and Opportunities for Mapping and Surveying and Location Based Service in the Age of Intelligence [J]. Geomatics and Information Science of Wuhan University, 2017, 42 (11): 1 506-1 517 (刘经南,高柯夫.智能时代测绘与位置服务领域的挑战与机遇[J]. 武汉大学学报·信息科学版,2017,42 (11) : 1 506-1 517 )
[12] Gong Jianya, Ji Shunping. From Photogrammetry to Computer Vision [J]. Geomatics and Information Science of Wuhan University, 2017, 42 (11): 1 518-1 522,1 615 (龚健雅,季顺平.从摄影测量到计算机视觉[J]. 武汉大学学报·信息科学版,2017,42 (11) : 1 518-1 522,1 615)
[13] Yao Yevenyo Ziggah. Research on the Application of some Artificial Intelligent Techniques to Geodetic Coordinate Transformation [D]. Wuhan: China University of Geosciences, 2017 (Yao Yevenyo Ziggah.人工智能方法在大地测量坐标转换中的应用研究[D]. 武汉:中国地质大学, 2017)
[14] Xiong Wei, Jia Zongren, Xue Chao. Surveying, Mapping and Geoinformation Take me to Automatic Driving [M]. Beijing: Surveying and Mapping Press, 2018 (熊伟, 贾宗仁, 薛超. 测绘地理信息带我自动驾驶[M]. 北京:测绘出版社,2018)
[15] Wang Renxiang, Hu Xin, Wang Jianrong. Photogrammetry of Mapping Satellite-1 Without Ground Control Points[J].Acta Geodaetica et Cartographica Sinica, 2013, 42 (1): 1-5(王任享, 胡莘, 王建荣. 天绘一号无地面控制点摄影测量[J].测绘学报,2013, 42(1):1-5)
[16] Gong Jianya, Wang Mi, Yang Bo. High-Precision Geometric Processing Theory and Method of High-Resolution Optical Remote Sensing Satellite Imagery Without GCP [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46 (10): 1 255-1 261(龚健雅, 王密, 杨博.高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J].测绘学报,2017,46 (10):1 255-1 261)
[17] Zhou Ping, Tang Xinming, Cao Ning, et al. SRTM-aided Stereo Image Block Adjustment Without Ground Control Points[J]. Acta Geodaetica et Cartographica Sinica,2016,45(11): 1 318-1 327(周平, 唐新明, 曹宁,等.SRTM约束的无地面控制立体影像区域网平差[J].测绘学报,2016,45 (11): 1 318-1 327)
[18] Li Deren. Towords Geo-spatial Information Science in Big Data Era [J]. Acta Geodaetica et Cartographica Sinica, 2016, 45 (4): 379-384 (李德仁.展望大数据时代的地球空间信息学[J].测绘学报,2016,45(4): 379-384)
[19] Wu Fang, Gong Xianyong, Du Jiawei. Overview of the Research Progress in Automated Map Generalization [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46 (10): 1 645-1 664 (武芳,巩现勇,杜佳威.地图制图综合回顾与前望[J].测绘学报,2017,46 (10):1 645-1 664)
[2] Xu Yongqing, Xiong Wei, Qiao Chaofei,et al. Research Report on Innovation of Surveying and Mapping Geoinformation Science and Technology [C]//Kurexi Maihe Suti, Wang Chunfeng,Chen Changsong,et al.Research Report on Innovation of Surveying and Mapping Geoinformation Science and Technology. Beijing: Social Science Literature Press, 2017(徐永清, 熊伟,乔朝飞,等. 测绘地理信息科技创新研究报告[C]//库热西·买合苏提,王春峰,陈常松,等.测绘地理信息蓝皮书:测绘地理信息科技创新研究报告.北京:社会科学文献出版社,2017)
[3] Ning Jinsheng,Chen Junyong, Li Deren,et al. An Introduction to Geomatics[M].2nd ed.Wuhan: Wuhan University Press, 2008 (宁津生,陈俊勇,李德仁,等.测绘学概论[M]. 2版.武汉:武汉大学出版社,2008)
[4] Sohu Technologies. Gartner Released the 2007 Emerging Technologies Maturity Curve: 13 top AI Technologies [EB/OL]. http://www.sohu.com/a/162408451_473283,2017(搜狐科技. Gartner重磅发布2017新兴技术成熟度曲线:13大AI技术处曲线巅峰[EB/OL]. http://www.sohu.com/a/162408451_473283,2017)
[5] Zhao Qingpeng. Current Situation and Future Trend of Computer Artificial Intelligence [J]. Electronic Technology and Software Engineering, 2018 (4): 254 (赵庆澎.计算机人工智能的发展现状与未来趋势[J]. 电子技术与软件工程,2018(4):254)
[6] Su Ruoqi. Summary of the Development and Application of Artificial Intelligence[J]. Electronic World, 2018 (3): 84, 86 (苏若祺.人工智能的发展及应用现状综述[J]. 电子世界,2018(3):84,86)
[7] Liu Yawen, Ye Xiaoxin. Using VirtuoZo to Detect the Change Area of Aerial Photograph [J]. Bulletin of Surveying and Mapping, 2000 (10): 16-17(刘亚文,叶晓新.利用VirtuoZo检测航片变化区域[J]. 测绘通报,2000(10):16-17)
[8] Lin Hui, Du Peijun. Digital Photogrammetry System VirtuoZo NT and Quantification of Remote Sensing Information [J]. Bulletin of Surveying and Mapping, 2005 (1): 14-17 (林卉,杜培军. 数字摄影测量系统VirtuoZo NT与遥感信息定量化[J]. 测绘通报,2005(1):14-17)
[9] Sui Yuchuan. Briefly Discussing the Experience of Using VirtuoZo 3.7.5 Digital Photogrammetry System[J].Geomatics & Spatial Information Techno- logy, 2011, 34 (2): 246-247(隋玉川.浅谈使用VirtuoZo 3.7.5 全数字摄影测量系统的几点体会[J].测绘与空间地理信息,2011,34(2):246-247)
[10] Lu Yingxin.Common Problems and Solutions of Aerial Triangulation Based on VirtuoZo[J]. Geomatics & Spatial Information Technology, 2017,40(10): 193-195(路莹新. 基于VirtuoZo进行空中三角测量的常见问题及解决方法[J].测绘与空间地理信息,2017,40(10):193-195)
[11] Liu Jingnan, Gao Kefu. Challenges and Opportunities for Mapping and Surveying and Location Based Service in the Age of Intelligence [J]. Geomatics and Information Science of Wuhan University, 2017, 42 (11): 1 506-1 517 (刘经南,高柯夫.智能时代测绘与位置服务领域的挑战与机遇[J]. 武汉大学学报·信息科学版,2017,42 (11) : 1 506-1 517 )
[12] Gong Jianya, Ji Shunping. From Photogrammetry to Computer Vision [J]. Geomatics and Information Science of Wuhan University, 2017, 42 (11): 1 518-1 522,1 615 (龚健雅,季顺平.从摄影测量到计算机视觉[J]. 武汉大学学报·信息科学版,2017,42 (11) : 1 518-1 522,1 615)
[13] Yao Yevenyo Ziggah. Research on the Application of some Artificial Intelligent Techniques to Geodetic Coordinate Transformation [D]. Wuhan: China University of Geosciences, 2017 (Yao Yevenyo Ziggah.人工智能方法在大地测量坐标转换中的应用研究[D]. 武汉:中国地质大学, 2017)
[14] Xiong Wei, Jia Zongren, Xue Chao. Surveying, Mapping and Geoinformation Take me to Automatic Driving [M]. Beijing: Surveying and Mapping Press, 2018 (熊伟, 贾宗仁, 薛超. 测绘地理信息带我自动驾驶[M]. 北京:测绘出版社,2018)
[15] Wang Renxiang, Hu Xin, Wang Jianrong. Photogrammetry of Mapping Satellite-1 Without Ground Control Points[J].Acta Geodaetica et Cartographica Sinica, 2013, 42 (1): 1-5(王任享, 胡莘, 王建荣. 天绘一号无地面控制点摄影测量[J].测绘学报,2013, 42(1):1-5)
[16] Gong Jianya, Wang Mi, Yang Bo. High-Precision Geometric Processing Theory and Method of High-Resolution Optical Remote Sensing Satellite Imagery Without GCP [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46 (10): 1 255-1 261(龚健雅, 王密, 杨博.高分辨率光学卫星遥感影像高精度无地面控制精确处理的理论与方法[J].测绘学报,2017,46 (10):1 255-1 261)
[17] Zhou Ping, Tang Xinming, Cao Ning, et al. SRTM-aided Stereo Image Block Adjustment Without Ground Control Points[J]. Acta Geodaetica et Cartographica Sinica,2016,45(11): 1 318-1 327(周平, 唐新明, 曹宁,等.SRTM约束的无地面控制立体影像区域网平差[J].测绘学报,2016,45 (11): 1 318-1 327)
[18] Li Deren. Towords Geo-spatial Information Science in Big Data Era [J]. Acta Geodaetica et Cartographica Sinica, 2016, 45 (4): 379-384 (李德仁.展望大数据时代的地球空间信息学[J].测绘学报,2016,45(4): 379-384)
[19] Wu Fang, Gong Xianyong, Du Jiawei. Overview of the Research Progress in Automated Map Generalization [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46 (10): 1 645-1 664 (武芳,巩现勇,杜佳威.地图制图综合回顾与前望[J].测绘学报,2017,46 (10):1 645-1 664)
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