基于QuickBird遥感影像与航空影像的集成定位与地物提取研究
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摘要
随着遥感影像数量和种类的不断增加,不同遥感影像间信息的集成利用研究体现出越来越重要的作用。基于不同种类高分辨率遥感影像的立体定位及地物提取是遥感信息集成应用的重要部分。本文以QuickBird遥感影像数据和框幅式航空遥感影像数据为基础,研究了高分辨率推扫式航天影像和框幅式航空影像的联合立体定位、地物提取以及二者间的核线关系。研究的主要工作归纳如下:
(1)介绍了常见的遥感传感器严密传模型和通用模型,以及基于传感器模型的立体定位原理。重点研究了QuickBird遥感影像立体定位的系统误差的规律以及不同纠正模型的纠正精度。实验证明,仿射纠正模型的纠正效果最好。在此基础上,研究了基于QuickBird遥感影像和航空遥感影像的联合立体定位,通过实验比较发现,联合定位的精度高于QuickBird遥感影像的定位精度,低于航空遥感影像的定位精度。
(2)阐述论证了投影轨迹法核线模型和共面方程法核线模型的关系。在共面方程思想的基础上,推导出了推扫式遥感影像的核线方程、以及推扫式遥感影像与框幅式遥感影像间的核线方程,并通过实验研究了QuickBird遥感影像的核线以及QuickBird遥感影像和航空遥感影像间的核线的形状、性质以及精度。实验证明,推扫式遥感影像上的核线是核曲线,且在较小范围内近似于直线,不同点对应的核曲线相交,但并不交于同一点。基于共面方程的核线模型具有亚像素级精度。
(3)研究了基于QuickBird遥感影像与框幅式遥感影像的建筑物的提取方法,主要包括基于SUSAN算子的边缘检测、基于Hough变换的边缘提取及基于不变矩和核线约束的匹配,并在此基础上提出了建筑物提取的策略方法。论文针对传统SUSAN算子的缺点做出了改进,提出了基于双阈值SUSAN算子的边缘检测,实验证明,基于双阈值SUSAN算子的边缘检测算法在一定提取信息量的基础上有效提高边缘检测的精确性。本文还通过实验验证了不变矩的不变性,并结合基于共面方程核线模型核线约束,提高了匹配的速度和可靠性。论文最后提出了建筑物提取的策略和步骤,并通过实验实现了基于QuickBird遥感影像与框幅式遥感影像间建筑物的提取。
最后,本文对所做工作进行了总结,并对未来需要继续研究的工作做了展望。
本文得到了国家自然科学基金项目(40771174)、国家863计划课题(2007AA12Z178)、“曙光计划”项目(07SG24)的资助。
With the increase of quantity and types of remote sensing imagery, integration of different types of remote sensing imagery has become more and more important. Geopositioning and object extraction are important parts of research on integration of different types of remote sensing imagery. This paper does research on geopositioning, epipolarity and object extraction based on integration of the linear CCD push-broom imagery and frame perspective imagery with QuickBird images and aerial images as experimental data. The main works are summarized as below:
1. This paper does research on the systematic error, accuracy assessment of error refinement based on different refinement models and geopositioning based on integration of the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that affine model has the highest accuracy and geopositioning accuracy based on integration of QuickBird image and aerial image is less than geopositioning accuracy based on QuickBird images and higher than geopositioning accuracy based on aerial images.
2. This paper does research on shape, property and accuracy of epipolarity of the linear CCD push-broom imagery and epipolarity between the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that the shape of epipolarity in linear CCD push-broom image is curve. Different epipolarity intersect at different points and the accuracy of epipolarity is above one pixel.
3. This paper does research on methods for extracting buildings, which mainly includes edge detection based on SUSAN operator, line extraction based on Hough Transform and matching method based on invariant moment and epipolarity constraint. Extraction strategy based on QuickBird images and aerial images is presented in the end. The deficiency of SUSAN operator is partly improved by double-threshold SUSAN operator which is proposed in this paper. It is proved in the experiments that the accuracy of edge detection is improved while information content detected is not reduced. Invariability of invariant moment is also proved and epipolarity constraint is applied for improving speed and reliability of matching in the experiment. Extraction strategy based on QuickBird images and aerial images is proposed in the paper and applied in the experiment.
In the end of the paper, the work which has been done in the paper is summarized, and the problems requiring further research are discussed.
(1)介绍了常见的遥感传感器严密传模型和通用模型,以及基于传感器模型的立体定位原理。重点研究了QuickBird遥感影像立体定位的系统误差的规律以及不同纠正模型的纠正精度。实验证明,仿射纠正模型的纠正效果最好。在此基础上,研究了基于QuickBird遥感影像和航空遥感影像的联合立体定位,通过实验比较发现,联合定位的精度高于QuickBird遥感影像的定位精度,低于航空遥感影像的定位精度。
(2)阐述论证了投影轨迹法核线模型和共面方程法核线模型的关系。在共面方程思想的基础上,推导出了推扫式遥感影像的核线方程、以及推扫式遥感影像与框幅式遥感影像间的核线方程,并通过实验研究了QuickBird遥感影像的核线以及QuickBird遥感影像和航空遥感影像间的核线的形状、性质以及精度。实验证明,推扫式遥感影像上的核线是核曲线,且在较小范围内近似于直线,不同点对应的核曲线相交,但并不交于同一点。基于共面方程的核线模型具有亚像素级精度。
(3)研究了基于QuickBird遥感影像与框幅式遥感影像的建筑物的提取方法,主要包括基于SUSAN算子的边缘检测、基于Hough变换的边缘提取及基于不变矩和核线约束的匹配,并在此基础上提出了建筑物提取的策略方法。论文针对传统SUSAN算子的缺点做出了改进,提出了基于双阈值SUSAN算子的边缘检测,实验证明,基于双阈值SUSAN算子的边缘检测算法在一定提取信息量的基础上有效提高边缘检测的精确性。本文还通过实验验证了不变矩的不变性,并结合基于共面方程核线模型核线约束,提高了匹配的速度和可靠性。论文最后提出了建筑物提取的策略和步骤,并通过实验实现了基于QuickBird遥感影像与框幅式遥感影像间建筑物的提取。
最后,本文对所做工作进行了总结,并对未来需要继续研究的工作做了展望。
本文得到了国家自然科学基金项目(40771174)、国家863计划课题(2007AA12Z178)、“曙光计划”项目(07SG24)的资助。
With the increase of quantity and types of remote sensing imagery, integration of different types of remote sensing imagery has become more and more important. Geopositioning and object extraction are important parts of research on integration of different types of remote sensing imagery. This paper does research on geopositioning, epipolarity and object extraction based on integration of the linear CCD push-broom imagery and frame perspective imagery with QuickBird images and aerial images as experimental data. The main works are summarized as below:
1. This paper does research on the systematic error, accuracy assessment of error refinement based on different refinement models and geopositioning based on integration of the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that affine model has the highest accuracy and geopositioning accuracy based on integration of QuickBird image and aerial image is less than geopositioning accuracy based on QuickBird images and higher than geopositioning accuracy based on aerial images.
2. This paper does research on shape, property and accuracy of epipolarity of the linear CCD push-broom imagery and epipolarity between the linear CCD push-broom imagery and frame perspective imagery. It is proved in the experiments that the shape of epipolarity in linear CCD push-broom image is curve. Different epipolarity intersect at different points and the accuracy of epipolarity is above one pixel.
3. This paper does research on methods for extracting buildings, which mainly includes edge detection based on SUSAN operator, line extraction based on Hough Transform and matching method based on invariant moment and epipolarity constraint. Extraction strategy based on QuickBird images and aerial images is presented in the end. The deficiency of SUSAN operator is partly improved by double-threshold SUSAN operator which is proposed in this paper. It is proved in the experiments that the accuracy of edge detection is improved while information content detected is not reduced. Invariability of invariant moment is also proved and epipolarity constraint is applied for improving speed and reliability of matching in the experiment. Extraction strategy based on QuickBird images and aerial images is proposed in the paper and applied in the experiment.
In the end of the paper, the work which has been done in the paper is summarized, and the problems requiring further research are discussed.
引文
[1]陈鹰.遥感影像的数字摄影测量.上海:同济大学出版社,2004
[2]李德仁,周月琴,金为铣.摄影测量与遥感概论。北京:测绘出版社,2001
[3]K.Di,R.Ma and R.Li.Geometric Processing of IKONOS Geo Stereo Imagery for Coastal Mapping Applications[J].Journal of Photogrammetric Engineering and Remote Sensing,2003:Vol.69(8):873-879
[4]Wang,K.Di and R.Li.Evaluation and Improvement of Geopositioning Accuracy of IKONOS Stereo Imagery.ASCE Journal of Surveying Engineering[J].2005:Vol.131(2):35-42
[5]张剑清,张祖勋.高分辨率遥感影像基于仿射变换的严格几何模型[J].武汉大学学报信息科学版,2002(6):623-626
[6]巩丹超,邓雪清,张云彬.新型的遥感卫星传感器几何模型:有理函数模型[J].海洋测绘,2003(1):7-19
[7]燕琴.异轨遥感影像的外方位元素的解求:[博士学位论文].武汉:武汉测绘科技大学,2000
[8]Li,R.,F.Zhou,X.Niu and K.Di.Integration of IKONOS and QuickBird Imagery for Geopositioning Accuracy Analysis[J].Journal of Photogrammetric Engineering and Remote Sensing.Vol.73(9):1067-1074
[9]张永生,巩丹超等.高分辨率遥感影像卫星应用.北京:科学出版社,2004
[10]江万寿,张剑清,张祖勋.三线阵CCD卫星影像的模拟研究[J].武汉大学学报(信息科学版),2002(4):414-419
[11]R.Nevatia,,A.Huertas and C.Lin.Detection of Buildings from Monocular Views of Aerial Scenes using Perceptual Grouping and Shadows.ARPA Image Understanding Workshop,1993
[12]江万寿.航空影像多视匹配与规则建筑物自动提取方法研究:[博士学位论文].武汉:武汉测绘科技大学,2004
[13]徐芳.航空影象基于角点检测的房屋半自动提取:[学位论文].武汉:武汉测绘科技大学,1998
[14]张祖勋,张剑清.数字摄影测量学.武汉:武汉大学出版社,1997
[15]张祖勋,张剑清,胡翔云.基于物方空间几何约束最小二乘匹配的建筑物半自动提取方法[J].武汉大学学报(信息版),2001(4):290-295
[16]张煌,张祖勋,张剑清.几何约束与影象分割相结合的快速半自动房屋提取[J].武汉测绘科技大学学报,2000(25):238-242
[17]张坤华,王敬孺,张启衡.多特征复合的角点提取方法[J].中国图象图形学报,2002(4):319-224
[18]闰兴英,陈树中.一种快速的图像特征匹配算法[J].计算机工程与科学,2001(4)21-24
[19]丘江,杨睁,刘波。基于矩和小波变换的目标图像识别[J].光学学报,2001(7),49-5
[20]杨昀,张桂林。利用SUSAN算子的特征复合相关跟踪算法[J].中国图象图形学报,2001(4).34-37
[21]冯桂,卢健,林宗坚.图像直方图不变特征在影像匹配立体定位中的应用[J].计算机辅助设计与图形学学报.2000(2),146-148
[22]严柏军,郑链,王克勇。基于不变矩特征匹配的快速目标检测算法[J].红外技术.2001(6):8-12
[23]宋长波.基于线特征的立体视觉匹配研究:[学位论文].武汉:武汉大学,2004
[24]邢帅.多源遥感影像配准与融合技术的研究:[学位论文].郑州:中国人民解放军信息工程大学,2004
[24]唐亮,谢维信,黄建军等.从航空影像中自动提取高层建筑物[J].计算机学报.2005(7):1200-1204
[25]张继贤,李国胜,曾钰.多源遥感影像高精度自动配准的方法研究[J].遥感学报.2005(1):73-77
[26]杨智勇,基于航天影像的数字匹配技术研究:[学位论文].西安:西安工业学院,2005
[27]张艳,线阵列推扫式影像的数字摄影测量处理:[学位论文].郑州:中国人民解放军信息工程大学,2003
[28]陶文兵,柳健,田金文。一种新型的航空图像城区建筑物自动提取方法[J].计算机学报.2003(7):866-873
[29]张登荣,蔡志刚,俞乐。基于匹配的遥感影像自动纠正方法研究[J].浙江大学学报。2007(3):402-406
[30]J.Zhang and X.Zhang.Strict geometric model based on affine transformation for remote sensing image with high resolution[J].Int.Archives of Photogram.& Remote Sensing.2002,Vol.34(B3):309-312
[31]巩丹超.高分辨率卫星遥感立体影像处理模型与算法:[学位论文].郑州:解放军信息工程大学,2003.
[32]戴晨光.基于多源遥感数据的多要素三维景观虚拟现实技术研究:[学位论文].郑州:解放军信息工程大学,1999
[33]巩丹超,邓雪清.戴晨光.建筑物提取与重建的技术分析[J].解放军测绘研究所学报.2002,(4):44-48
[34]王伟玺,基于广义立体像对的三维重建方法研究:[学位论文].辽宁:辽宁工程技术大学,2007
[35]C.Vincent Tao,Yong Hu.Investigation On The Rational Function Model.ASPRS 2000Annual Conference Proceedings,Washington D.C:2000
[36]Xinghe Yang.Accuracy of Rational Function Approximation In Photogrammetry[A].ASPRS 2000 Annual Conference Proceedings[C],Washington D.C:2000
[37]Fraser C S,Hanley H B.Bias compensation in rational functions for IKONOS satellite imagery[J].Photogrammetric Eng.& Remote Sensing,2003,69(1):53-58
[38]Grodecki,Dial G.Block adjustment of high-resolution satellite images described by rational polynomials[J].Photogrammetric Eng.& Remote Sensing,2003,69(1):59-68
[39]T.Poggio,H.Voorhees etc.A Regularized Solution to Edge Detection,Tech.Rep.MA,Rep.AIM-833,MIT Artificial Intell.Lab.,May 1985
[40]Canny.A computational approach to edge detection[J],IEEE Trans on Pattern Analysis and Machine Intelligence,1986,vol.8:679-698
[41]M.K.Hu.Visual Pattern Recognition by Moment Invariances[J],IEEE Trans.Info.Theory,1962,vol.8:179-187
[2]李德仁,周月琴,金为铣.摄影测量与遥感概论。北京:测绘出版社,2001
[3]K.Di,R.Ma and R.Li.Geometric Processing of IKONOS Geo Stereo Imagery for Coastal Mapping Applications[J].Journal of Photogrammetric Engineering and Remote Sensing,2003:Vol.69(8):873-879
[4]Wang,K.Di and R.Li.Evaluation and Improvement of Geopositioning Accuracy of IKONOS Stereo Imagery.ASCE Journal of Surveying Engineering[J].2005:Vol.131(2):35-42
[5]张剑清,张祖勋.高分辨率遥感影像基于仿射变换的严格几何模型[J].武汉大学学报信息科学版,2002(6):623-626
[6]巩丹超,邓雪清,张云彬.新型的遥感卫星传感器几何模型:有理函数模型[J].海洋测绘,2003(1):7-19
[7]燕琴.异轨遥感影像的外方位元素的解求:[博士学位论文].武汉:武汉测绘科技大学,2000
[8]Li,R.,F.Zhou,X.Niu and K.Di.Integration of IKONOS and QuickBird Imagery for Geopositioning Accuracy Analysis[J].Journal of Photogrammetric Engineering and Remote Sensing.Vol.73(9):1067-1074
[9]张永生,巩丹超等.高分辨率遥感影像卫星应用.北京:科学出版社,2004
[10]江万寿,张剑清,张祖勋.三线阵CCD卫星影像的模拟研究[J].武汉大学学报(信息科学版),2002(4):414-419
[11]R.Nevatia,,A.Huertas and C.Lin.Detection of Buildings from Monocular Views of Aerial Scenes using Perceptual Grouping and Shadows.ARPA Image Understanding Workshop,1993
[12]江万寿.航空影像多视匹配与规则建筑物自动提取方法研究:[博士学位论文].武汉:武汉测绘科技大学,2004
[13]徐芳.航空影象基于角点检测的房屋半自动提取:[学位论文].武汉:武汉测绘科技大学,1998
[14]张祖勋,张剑清.数字摄影测量学.武汉:武汉大学出版社,1997
[15]张祖勋,张剑清,胡翔云.基于物方空间几何约束最小二乘匹配的建筑物半自动提取方法[J].武汉大学学报(信息版),2001(4):290-295
[16]张煌,张祖勋,张剑清.几何约束与影象分割相结合的快速半自动房屋提取[J].武汉测绘科技大学学报,2000(25):238-242
[17]张坤华,王敬孺,张启衡.多特征复合的角点提取方法[J].中国图象图形学报,2002(4):319-224
[18]闰兴英,陈树中.一种快速的图像特征匹配算法[J].计算机工程与科学,2001(4)21-24
[19]丘江,杨睁,刘波。基于矩和小波变换的目标图像识别[J].光学学报,2001(7),49-5
[20]杨昀,张桂林。利用SUSAN算子的特征复合相关跟踪算法[J].中国图象图形学报,2001(4).34-37
[21]冯桂,卢健,林宗坚.图像直方图不变特征在影像匹配立体定位中的应用[J].计算机辅助设计与图形学学报.2000(2),146-148
[22]严柏军,郑链,王克勇。基于不变矩特征匹配的快速目标检测算法[J].红外技术.2001(6):8-12
[23]宋长波.基于线特征的立体视觉匹配研究:[学位论文].武汉:武汉大学,2004
[24]邢帅.多源遥感影像配准与融合技术的研究:[学位论文].郑州:中国人民解放军信息工程大学,2004
[24]唐亮,谢维信,黄建军等.从航空影像中自动提取高层建筑物[J].计算机学报.2005(7):1200-1204
[25]张继贤,李国胜,曾钰.多源遥感影像高精度自动配准的方法研究[J].遥感学报.2005(1):73-77
[26]杨智勇,基于航天影像的数字匹配技术研究:[学位论文].西安:西安工业学院,2005
[27]张艳,线阵列推扫式影像的数字摄影测量处理:[学位论文].郑州:中国人民解放军信息工程大学,2003
[28]陶文兵,柳健,田金文。一种新型的航空图像城区建筑物自动提取方法[J].计算机学报.2003(7):866-873
[29]张登荣,蔡志刚,俞乐。基于匹配的遥感影像自动纠正方法研究[J].浙江大学学报。2007(3):402-406
[30]J.Zhang and X.Zhang.Strict geometric model based on affine transformation for remote sensing image with high resolution[J].Int.Archives of Photogram.& Remote Sensing.2002,Vol.34(B3):309-312
[31]巩丹超.高分辨率卫星遥感立体影像处理模型与算法:[学位论文].郑州:解放军信息工程大学,2003.
[32]戴晨光.基于多源遥感数据的多要素三维景观虚拟现实技术研究:[学位论文].郑州:解放军信息工程大学,1999
[33]巩丹超,邓雪清.戴晨光.建筑物提取与重建的技术分析[J].解放军测绘研究所学报.2002,(4):44-48
[34]王伟玺,基于广义立体像对的三维重建方法研究:[学位论文].辽宁:辽宁工程技术大学,2007
[35]C.Vincent Tao,Yong Hu.Investigation On The Rational Function Model.ASPRS 2000Annual Conference Proceedings,Washington D.C:2000
[36]Xinghe Yang.Accuracy of Rational Function Approximation In Photogrammetry[A].ASPRS 2000 Annual Conference Proceedings[C],Washington D.C:2000
[37]Fraser C S,Hanley H B.Bias compensation in rational functions for IKONOS satellite imagery[J].Photogrammetric Eng.& Remote Sensing,2003,69(1):53-58
[38]Grodecki,Dial G.Block adjustment of high-resolution satellite images described by rational polynomials[J].Photogrammetric Eng.& Remote Sensing,2003,69(1):59-68
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