三调正射影像生产中道路扭曲的快速纠正方法
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摘要
土地调查中数字正射影像(DOM)底图生产是开展资源与环境监测、国情普查的基础.针对正射纠正后影像中存在大量扭曲区域,特别是道路区域,本文提出全新作业模式,即通过编辑道路扭曲区域数字高程模型(DEM),进行实时局部正射纠正来实现.高分辨测绘卫星影像高分二号和北京二号两组实验数据生产表明,该方法实现了影像道路扭曲区域的快速纠正,纠正后道路区域边缘地物没有出现明显错位现象.同时,一定数量道路区域控制点的局部纠正前后精度对比,表明该方法很大程度提高了道路扭曲区域的纠正精度,平面精度优于4m,满足我国11万正射影像生产精度要求.
It is the basis for resource and environmental monitoring and census of national conditions when orthophoto is produced as the base map in land survey.Aiming at the large number of distorted areas existing in the orthorectified image,especially the road area,this paper proposes a new method.That is to say,Real-time local orthorectification is carried out by editing DEM in the road distortion area.It shows that the method achieves a rapid rectify of the image road distortion area,There is no obvious misalignment of the road edge area after rectifying the high-resolution satellite imagery of the GF-2and TRIPLESAT-2experimental data.In addition,through comparing the accuracy of a certain number control points in the road area,before and after local orthorectification,it also shows that the method significantly improves the accuracy of the road distortion area,whose planar accuracy is better than 4 m.and meeting the requirements of Orthophoto production accuracy of1∶10 000.
It is the basis for resource and environmental monitoring and census of national conditions when orthophoto is produced as the base map in land survey.Aiming at the large number of distorted areas existing in the orthorectified image,especially the road area,this paper proposes a new method.That is to say,Real-time local orthorectification is carried out by editing DEM in the road distortion area.It shows that the method achieves a rapid rectify of the image road distortion area,There is no obvious misalignment of the road edge area after rectifying the high-resolution satellite imagery of the GF-2and TRIPLESAT-2experimental data.In addition,through comparing the accuracy of a certain number control points in the road area,before and after local orthorectification,it also shows that the method significantly improves the accuracy of the road distortion area,whose planar accuracy is better than 4 m.and meeting the requirements of Orthophoto production accuracy of1∶10 000.
引文
[1]国务院印发《关于开展第三次全国土地调查的通知》[J].城市规划通讯,2017(20):1.
[2]官云兰,周世健,鲁铁定.基于ERDAS IMAGINE的数字正射影像图的制作[J].测绘通报,2005(12):31-33.
[3]张平.数字正射影像的制作技术及问题探讨[J].测绘通报,2003(10):28-30.
[4]方剑强.生产数字正射影像图(DOM)的若干技术问题探讨[J].测绘与空间地理信息,2007(3):91-93.
[5]杜全叶,陆锦忠.无人飞艇低空摄影测量系统及其DOM制作关键技术[J].测绘通报,2010(6):41-43.
[6]戴小真.基于INPHO系列软件的数字正射影像图的制作[J].现代测绘,2007(5):27-29.
[7]李琼,张琍,答星.利用Geoway ImageStation和SQL Server进行正射影像生产的若干问题思考[J].测绘通报,2009(1):42-44.
[8]答星.基于OrthoVista的数字正射影像快速成图的方法研究[J].测绘通报,2011(8):54-56.
[9]施骏骋,王金强,文广,等.资源三号影像的DOM制作对比分析[J].测绘科学,2016,41(1):133-138,126.
[10]顾朝林,吴莉娅.中国城市化研究主要成果综述[J].城市问题,2008(12):2-12.
[11]张剑清,张勇,郑顺义,等.高分辨率遥感影像的精纠正[J].武汉大学学报(信息科学版),2004(11):994-998.
[12]张祖勋,张剑清.数字摄影测量学[M].2版.武汉:武汉大学出版社,2012.
[13]王武仕,赵羲.正射影像纠正高架路桥扭曲的解决方法[J].测绘技术装备,2014,16(2):42,67.
[14]张力,艾海滨,许彪,等.基于多视影像匹配模型的倾斜航空影像自动连接点提取及区域网平差方法[J].测绘学报,2017,46(5):554-564.
[15]崔浩,张力,艾海滨,等.利用基准色调的大范围卫星影像色彩一致性处理算法[J].测绘学报,2017,46(12):1986-1997.
[2]官云兰,周世健,鲁铁定.基于ERDAS IMAGINE的数字正射影像图的制作[J].测绘通报,2005(12):31-33.
[3]张平.数字正射影像的制作技术及问题探讨[J].测绘通报,2003(10):28-30.
[4]方剑强.生产数字正射影像图(DOM)的若干技术问题探讨[J].测绘与空间地理信息,2007(3):91-93.
[5]杜全叶,陆锦忠.无人飞艇低空摄影测量系统及其DOM制作关键技术[J].测绘通报,2010(6):41-43.
[6]戴小真.基于INPHO系列软件的数字正射影像图的制作[J].现代测绘,2007(5):27-29.
[7]李琼,张琍,答星.利用Geoway ImageStation和SQL Server进行正射影像生产的若干问题思考[J].测绘通报,2009(1):42-44.
[8]答星.基于OrthoVista的数字正射影像快速成图的方法研究[J].测绘通报,2011(8):54-56.
[9]施骏骋,王金强,文广,等.资源三号影像的DOM制作对比分析[J].测绘科学,2016,41(1):133-138,126.
[10]顾朝林,吴莉娅.中国城市化研究主要成果综述[J].城市问题,2008(12):2-12.
[11]张剑清,张勇,郑顺义,等.高分辨率遥感影像的精纠正[J].武汉大学学报(信息科学版),2004(11):994-998.
[12]张祖勋,张剑清.数字摄影测量学[M].2版.武汉:武汉大学出版社,2012.
[13]王武仕,赵羲.正射影像纠正高架路桥扭曲的解决方法[J].测绘技术装备,2014,16(2):42,67.
[14]张力,艾海滨,许彪,等.基于多视影像匹配模型的倾斜航空影像自动连接点提取及区域网平差方法[J].测绘学报,2017,46(5):554-564.
[15]崔浩,张力,艾海滨,等.利用基准色调的大范围卫星影像色彩一致性处理算法[J].测绘学报,2017,46(12):1986-1997.