高分辨率遥感卫星颤振探测的相位相关分析法
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摘要
平台颤振是影响高分辨率卫星影像几何和辐射质量的关键因素。为提高从影像反演平台颤振特性的可行性和可信度,本文提出基于局部频率分析相位相关的智能化视差法颤振探测方法。通过结合结构影像表达和相位相关,并充分利用影像的局部和全局相位信息,减少了辐射变化和噪声等干扰因素对亚像素偏移值估计的影响,同时融入视差法颤振探测框架,保证精确稳健的密集匹配,从而实现高效的平台颤振精密探测。通过采用实际辐射变化数据集的算法对比及采用资源三号卫星影像的颤振探测试验验证了本文方法的有效性。结果表明,局部频率分析相位相关算法在辐射差异和噪声等情况下效果优于其他主流相位相关算法,匹配精度达到0.05个像素,本文颤振探测方法有效估计了资源三号卫星的颤振信息。
Jitter is a crucial error source that undermines the geometric and radiometric performance of satellite imagery.Inordertoenhancethefeasibility and trust of retrieving jitter from imagery,this paper proposes an intelligent jitter detection method using parallax observation based on phase correlation with local frequency analysis.Through connecting structural image representation with phase correlation,the local and global phase information is fully utilized to reduce the influence of radiometric variation,noise and other interferences on subpixel translation estimation.The subpixel phase correlation is integrated into the framework of jitter detection using parallax observation,which ensures the accurate and robust dense matching and achieves effective jitter detection.The effectiveness of the proposed method is demonstrated by method comparison using images with realistic radiometric difference as well as jitter detection test using ZY-3 images.The promising results indicate that,the subpixel phase correlation method with local frequency analysis outperforms other state-of-the-art methods in the presence of radiometric difference and noise,achieving a matching accuracy of 0.05 pixels,and the proposed jitter detection method effectively estimates the jitter information of ZY-3 satellite.
Jitter is a crucial error source that undermines the geometric and radiometric performance of satellite imagery.Inordertoenhancethefeasibility and trust of retrieving jitter from imagery,this paper proposes an intelligent jitter detection method using parallax observation based on phase correlation with local frequency analysis.Through connecting structural image representation with phase correlation,the local and global phase information is fully utilized to reduce the influence of radiometric variation,noise and other interferences on subpixel translation estimation.The subpixel phase correlation is integrated into the framework of jitter detection using parallax observation,which ensures the accurate and robust dense matching and achieves effective jitter detection.The effectiveness of the proposed method is demonstrated by method comparison using images with realistic radiometric difference as well as jitter detection test using ZY-3 images.The promising results indicate that,the subpixel phase correlation method with local frequency analysis outperforms other state-of-the-art methods in the presence of radiometric difference and noise,achieving a matching accuracy of 0.05 pixels,and the proposed jitter detection method effectively estimates the jitter information of ZY-3 satellite.
引文
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[11] LI Jie,LIU Yiguang,DU Shuangli,et al.Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(12):7092-7104.
[12] LEPRINCE S,BARBOT S,AYOUB F,et al.Automatic and Precise Orthorectification,Coregistration,and Subpixel Correlation of Satellite Images,Application to Ground Deformation Measurements[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(6):1529-1558.
[13] FOROOSH H,ZERUBIA J B,BERTHOD M.Extension of Phase Correlation to Subpixel Registration[J].IEEE Transactions on Image Processing,2002,11(3):188-200.
[14] NAGASHIMA S,AOKI T,HIGUCHI T,et al.A Subpixel Image Matching Technique Using Phase-only Correlation[C]∥Proceedings of 2006International Symposium on Intelligent Signal Processing and Communications.Tottori,Japan:IEEE,2006:701-704.
[15] STONE H S,ORCHARD M T,CHANG E C,et al.A Fast Direct Fourier-based Algorithm for Subpixel Registration of Images[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(10):2235-2243.
[16] HOGE W S.A Subspace Identification Extension to the Phase Correlation Method[MRI Application][J].IEEE Transactions on Medical Imaging,2003,22(2):277-280.
[17] YE Yuanxin,SHAN Jie,BRUZZONE L,et al.Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(5):2941-2958.
[18] MORRONE M C,OWENS R A.Feature detection from local energy[J].Pattern Recognition Letters,1987,6(5):303-313.
[19] LI Zhang,MAHAPATRA D,TIELBEEK J A W,et al.Image Registration Based on Autocorrelation of Local Structure[J].IEEE Transactions on Medical Imaging,2016,35(1):63-75.
[20] MOUATS T,AOUF N,RICHARDSON M A.A Novel Image Representation Via Local Frequency Analysis for Illumination Invariant Stereo Matching[J].IEEE Transactions on Image Processing,2015,24(9):2685-2700.
[21] KOVESI P.Image Features from Phase Congruency[J].Videre:Journal of Computer Vision Research,1999,1(3):1-26.
[22] HIRSCHMULLER H,SCHARSTEIN D.Evaluation of Stereo Matching Costs on Images with Radiometric Differences[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(9):1582-1599.
[2] IWASAKI A.Detection and Estimation Satellite Attitude Jitter Using Remote Sensing Imagery[M]∥HALL J.Advances in Spacecraft Technologies.Rijeka,Croatia:In-Tech,2011,257-272.
[3] TESHIMA Y,IWASAKI A.Correction of Attitude Fluctuation of Terra Spacecraft Using ASTER/SWIR Imagery with Parallax Observation[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(1):222-227.
[4] AMBERG V,DECHOZ C,BERNARD L,et al.In-flight Attitude Perturbances Estimation:Application to PLEIADES-HR Satellites[C]∥Proceedings Volume 8866,Earth Observing Systems XVIII.San Diego,California:SPIE,2013,8866:886612.
[5] MUMTAZ R,PALMER P.Attitude Determination by Exploiting Geometric Distortions in Stereo Images of DMC Camera[J].IEEE Transactions on Aerospace and Electronic Systems,2013,49(3):1601-1625.
[6] SUN Tao,LONG Hui,LIU Baocheng,et al.Application of Attitude Jitter Detection Based on Short-time Asynchronous Images and Compensation Methods for Chinese Mapping Satellite-1[J].Optics Express,2015,23(2):1395-1410.
[7] TONG Xiaohua,XU Yusheng,YE Zhen,et al.Attitude Oscillation Detection of the ZY-3Satellite by Using Multispectral Parallax Images[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(6):3522-3534.
[8] ZITOVAB,FLUSSER J.Image Registration Methods:A Survey[J].Image and Vision Computing,2003,21(11):977-1000.
[9] TONG Xiaohua,YE Zhen,XU Yusheng,et al.A Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random Sample Consensus[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(8):4143-4156.
[10]林卉,梁亮,杜培军,等.利用Fourier-Mellin变换的遥感图像自动配准[J].武汉大学学报(信息科学版),2012,37(6):649-652.LIN Hui,LIANG Liang,DU Peijun,et al.Image Registration Based on Fourier-Mellin Transform[J].Geomatics and Information Science of Wuhan University,2012,37(6):649-652.
[11] LI Jie,LIU Yiguang,DU Shuangli,et al.Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(12):7092-7104.
[12] LEPRINCE S,BARBOT S,AYOUB F,et al.Automatic and Precise Orthorectification,Coregistration,and Subpixel Correlation of Satellite Images,Application to Ground Deformation Measurements[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(6):1529-1558.
[13] FOROOSH H,ZERUBIA J B,BERTHOD M.Extension of Phase Correlation to Subpixel Registration[J].IEEE Transactions on Image Processing,2002,11(3):188-200.
[14] NAGASHIMA S,AOKI T,HIGUCHI T,et al.A Subpixel Image Matching Technique Using Phase-only Correlation[C]∥Proceedings of 2006International Symposium on Intelligent Signal Processing and Communications.Tottori,Japan:IEEE,2006:701-704.
[15] STONE H S,ORCHARD M T,CHANG E C,et al.A Fast Direct Fourier-based Algorithm for Subpixel Registration of Images[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(10):2235-2243.
[16] HOGE W S.A Subspace Identification Extension to the Phase Correlation Method[MRI Application][J].IEEE Transactions on Medical Imaging,2003,22(2):277-280.
[17] YE Yuanxin,SHAN Jie,BRUZZONE L,et al.Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(5):2941-2958.
[18] MORRONE M C,OWENS R A.Feature detection from local energy[J].Pattern Recognition Letters,1987,6(5):303-313.
[19] LI Zhang,MAHAPATRA D,TIELBEEK J A W,et al.Image Registration Based on Autocorrelation of Local Structure[J].IEEE Transactions on Medical Imaging,2016,35(1):63-75.
[20] MOUATS T,AOUF N,RICHARDSON M A.A Novel Image Representation Via Local Frequency Analysis for Illumination Invariant Stereo Matching[J].IEEE Transactions on Image Processing,2015,24(9):2685-2700.
[21] KOVESI P.Image Features from Phase Congruency[J].Videre:Journal of Computer Vision Research,1999,1(3):1-26.
[22] HIRSCHMULLER H,SCHARSTEIN D.Evaluation of Stereo Matching Costs on Images with Radiometric Differences[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(9):1582-1599.
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