基于广义立体像对的高分辨率遥感影像阴影检测
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摘要
由于高分辨率遥感影像存在同物异谱或异物同谱现象,常用的基于影像特征的阴影检测方法存在普适性较差、鲁棒性较低、高漏检率和误检率等问题,而基于物理模型的阴影检测方法受数据源限制应用较少。立足高分辨率遥感影像以及基础地理信息数据日益丰富这一背景,从摄影测量理论和阴影形成几何原理出发,提出了广义立体像对支持的、多源数据辅助的高分辨率遥感影像多角度阴影检测方法。实验结果表明,在地面控制点支持下,广义立体像对能够完成三维重建,且重建模型的定位精度能够达到影像分辨率对应成图比例尺的规范要求;该方法是可行的,虽然过程更加复杂,但由于理论上更加严密,能够避开常用检测方法存在的问题,取得更好的检测效果,具有良好的工程化应用前景。
The common shadow detection methods based on image features had certain problems such as poor universality, low robustness, high missing detection rate and high false detection rate, which caused by the phenomenon of same object with different spectrum or different object with same spectrum, while the shadow detection methods based on physical model are limited by data sources. Under the background of increasingly rich high-resolution remote sensing images and basic geographic information, a multi-angle shadow detection method supported by multi-source data and generalized stereoscopic image pair was proposed based on satellite photogrammetry theory and geometric principle of shadow formation. The test results show that:supported by a certain number of control points, the generalized stereo image pair can complete three-dimensional reconstruction, and the positioning accuracy of the model can meet the standard requirements of the image ground resolution corresponding to the mapping scale.This method is feasible, although the process is more complex, it can avoid the problems of common detection methods, and achieve better detection results because it is more rigorous in theory. It will have good engineering application prospect.
The common shadow detection methods based on image features had certain problems such as poor universality, low robustness, high missing detection rate and high false detection rate, which caused by the phenomenon of same object with different spectrum or different object with same spectrum, while the shadow detection methods based on physical model are limited by data sources. Under the background of increasingly rich high-resolution remote sensing images and basic geographic information, a multi-angle shadow detection method supported by multi-source data and generalized stereoscopic image pair was proposed based on satellite photogrammetry theory and geometric principle of shadow formation. The test results show that:supported by a certain number of control points, the generalized stereo image pair can complete three-dimensional reconstruction, and the positioning accuracy of the model can meet the standard requirements of the image ground resolution corresponding to the mapping scale.This method is feasible, although the process is more complex, it can avoid the problems of common detection methods, and achieve better detection results because it is more rigorous in theory. It will have good engineering application prospect.
引文
[1] 王超,石爱业,顾爱华,等.一种结合阴影补偿的城市高分遥感影像分割方法[J].电子测量与仪器学报,2017,31(10):1687-1692.WANG C,SHI A Y,GU A H,et al.High resolution remote sensing image segmentation method for urban scenes combined with shadow compensation[J].Journal of Electronic Measurement and Instrumentation,2017,31(10):1687-1692.
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[11] 王理政,林祥国,宁晓刚.面向对象的高分辨率遥感影像阴影提取方法[J].测绘科学,2017,42(3):108-113.WANG L ZH,LIN X G,NING X G.Object oriented method of shadow extraction from high resolution remote sensing imagery[J].Science of Surveying and Mapping,2017,42(3):108-113.
[12] ADELINE K M,CHEN M,BRIOTTET X,et al.Shadow detection in very high spatial resolution aerial images:A comparative study[J].ISPRS Journal of Photogrammtry and Remote Sensing,2013(80):21-38.
[13] HAN Y B,GUO X P,WEI Y W.An improved shadow removal algorithm based on RGB and HSI color spaces[J].CAAI Transactions On Intelligent Systems,2015,10(5):769-774.
[14] 刘世杰,晏飞,王卫安.一种改进的高分辨率卫星影像数字表面模型生成方法[J].同济大学学报(自然科学版),2015,43 (9):1414-1418.LIU S J,YAN F,WANG W A.An Improved Appoach for Digital Surface ModelGeneration from High Resolution SatelliteImages[J].Journal of TongJi University(Natural Science),2015,43(9):1414-1418.
[15] 王莉,马红,周智勇.基于高精度DSM的建筑物高程信息提取[J].城市勘测,2014,(3):10-13.WANG L,MA H,ZHOU Z Y.Building’s Roof Elevation Extraction Based on High-precision DSM[J].urban Geotechnical Investigation & Surveying,2014,(3):10-13.
[16] 戴激光,宋伟东,贾永红,等.一种新的异源高分辨率光学卫星遥感影像自动匹配算法[J].测绘学报,2013,42(1):80-86.DAI J G,SONG W D,JIA Y H,et al.A new automatically matching algorithm for multi-source high resolution optical satellite images[J].Acta Geodaetica et Cartographica Sinica,2013,42(1):80-86.
[17] 陈红顺,贺辉,肖红玉.基于光谱特征的高空间分辨率遥感影像阴影检测[J].光学精密工程,2015,23(10):484-489.CHEN H SH,HE H,XIAO H Y.Shadow detection in high spatial resolution remotesensing images based on spectral features[J].Optics and Precision Engineering,2015,23(10):484-489.
[18] 虢建宏,田庆久,吴昀昭.遥感影像阴影多波段检测与去除理论模型研究[J].遥感学报,2006,10(2):151-159.GUO J H,TIAN Q J,WU Y ZH.Study on multispectral detecting shadow areas and a theoretical model of removing shadows from remote sensing images[J].Journal of Remote Sensing,2006,10(2):151-159.
[19] 姜建国,李婷,杨玲敏,等.通道高分辨率遥感图像阴影检测算法的改进[J].计算机辅助设计与图形学学报,2015,27(8):1490-1496.JIANG J G,LI T,YANG L M,et al.Improvement of shadow detection algorithm based on C3 component for high-resolution remote sensing images[J].Journal of Computer-Aided Design & Computer Graphics,2015,27(8):1490-1496.
[2] 曲景影,孙显,高鑫.基于CNN模型的高分辨率遥感图像目标识别[J].国外电子测量技术,2016,35(8):45-47.QU J Y,SUN X,GAO X.Remote sensing image target recognition based on CNN[J].Foreign Electronic Measurement Technology,2016,35(8):45-47.
[3] 高桂荣,严威,夏晨阳.结合空间信息的PTSVM的遥感图像变化检测[J].电子测量技术,2016,39(4):45-48.GAO G R,YAN W,XIA CH Y.PTSVM combined with spatial information for remote sensing image change detection[J].Electronic Measurement Technology,2016,39(4):45-48.
[4] 王超,行鸿彦,李亮,等.结合辐射与分形的高分遥感建筑物阴影检测[J].仪器仪表学报,2018,39(2):241-247.WANG CH,XING H Y,LI L,et al.Building shadow detection for high resolution remote sensing image combining radiation and fractal[J].Chinese Journal of Scientific Instrument,2018,39(2):241-247.
[5] 宋晓琳,邬紫阳,张伟伟.基于阴影和类Harr特征的动态车辆检测[J].电子测量与仪器学报,2015,29(9):1340-1347.SONG X L,WU Z Y,ZHANG W W.Dynamic vehicle detection based on shadow and Harr like feature[J].Journal of Electronic Measurement and Instrumentation,2015,29(9):1340-1347.
[6] 杨兴旺,杨树文,刘正军.资源三号影像中城市高大地物阴影检测方法[J].测绘科学,2015,40(9):98-101.YANG X W,YANG SH W,LIU ZH J.Shadow detection for urban tall standing objects based on ZY-3 satellite imagery[J].Science of Surveying and Mapping,2015,40(9):98-101.
[7] ESWARAN S,VIJAYALAKSHMI S.Shadow removal from remote sensing images by efficient inpainting method [J].International Journal of Applied Engineering Research,2015,10(8):19989-19999.
[8] MURALI S,GOVINDAN V K.Shadow detection and removal from a single image using LAB color space[J].Cybernetics and Information Technologies,2013,13(1):95-103.
[9] MOVIA A,BEINAT A,CROSILLA F.Shadow detection and removal in RGB VHR images for land use unsupervised classification[J].ISPRS Journal of Photogrammtry and Remote Sensing,2016,119(24):485-495.
[10] 高贤君,万幼川,郑顺义,等.航空遥感影像阴影的自动检测与补偿[J].武汉大学学报(信息科学版),2012,37(11):1299-1302.GAO X J,WAN Y CH,ZHENG SH Y,et al.Automatic shadow detection and compensation of aerial remote sensing images[J].Geomatics and information Scicncc of Wuhan University,2012,37(11):1299-1302.
[11] 王理政,林祥国,宁晓刚.面向对象的高分辨率遥感影像阴影提取方法[J].测绘科学,2017,42(3):108-113.WANG L ZH,LIN X G,NING X G.Object oriented method of shadow extraction from high resolution remote sensing imagery[J].Science of Surveying and Mapping,2017,42(3):108-113.
[12] ADELINE K M,CHEN M,BRIOTTET X,et al.Shadow detection in very high spatial resolution aerial images:A comparative study[J].ISPRS Journal of Photogrammtry and Remote Sensing,2013(80):21-38.
[13] HAN Y B,GUO X P,WEI Y W.An improved shadow removal algorithm based on RGB and HSI color spaces[J].CAAI Transactions On Intelligent Systems,2015,10(5):769-774.
[14] 刘世杰,晏飞,王卫安.一种改进的高分辨率卫星影像数字表面模型生成方法[J].同济大学学报(自然科学版),2015,43 (9):1414-1418.LIU S J,YAN F,WANG W A.An Improved Appoach for Digital Surface ModelGeneration from High Resolution SatelliteImages[J].Journal of TongJi University(Natural Science),2015,43(9):1414-1418.
[15] 王莉,马红,周智勇.基于高精度DSM的建筑物高程信息提取[J].城市勘测,2014,(3):10-13.WANG L,MA H,ZHOU Z Y.Building’s Roof Elevation Extraction Based on High-precision DSM[J].urban Geotechnical Investigation & Surveying,2014,(3):10-13.
[16] 戴激光,宋伟东,贾永红,等.一种新的异源高分辨率光学卫星遥感影像自动匹配算法[J].测绘学报,2013,42(1):80-86.DAI J G,SONG W D,JIA Y H,et al.A new automatically matching algorithm for multi-source high resolution optical satellite images[J].Acta Geodaetica et Cartographica Sinica,2013,42(1):80-86.
[17] 陈红顺,贺辉,肖红玉.基于光谱特征的高空间分辨率遥感影像阴影检测[J].光学精密工程,2015,23(10):484-489.CHEN H SH,HE H,XIAO H Y.Shadow detection in high spatial resolution remotesensing images based on spectral features[J].Optics and Precision Engineering,2015,23(10):484-489.
[18] 虢建宏,田庆久,吴昀昭.遥感影像阴影多波段检测与去除理论模型研究[J].遥感学报,2006,10(2):151-159.GUO J H,TIAN Q J,WU Y ZH.Study on multispectral detecting shadow areas and a theoretical model of removing shadows from remote sensing images[J].Journal of Remote Sensing,2006,10(2):151-159.
[19] 姜建国,李婷,杨玲敏,等.通道高分辨率遥感图像阴影检测算法的改进[J].计算机辅助设计与图形学学报,2015,27(8):1490-1496.JIANG J G,LI T,YANG L M,et al.Improvement of shadow detection algorithm based on C3 component for high-resolution remote sensing images[J].Journal of Computer-Aided Design & Computer Graphics,2015,27(8):1490-1496.
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