一种基于经验模态分解的永久散射体探测方法
|
摘要
基于经验模态分解(EMD),提出了一种改进的永久散射体(PS)探测方法。对干涉图进行多尺度分解,基于梯度的自适应滤波对分解的本征模函数中的噪声进行低信噪比区域强滤波和高信噪比区域弱滤波,估算滤波后各PS候选(PSC)点的噪声相位。基于各PSC点的幅度和相位稳定性,对选取的PSC点的相位信息进行分析,判断其作为PS点的概率,进而选取可靠的PS点。实验结果表明:与传统的PS点选取方法相比,所提方法避免了探测过程中PS点的误判和漏判,准确性更高。
In this study,an improved method based on empirical mode decomposition is proposed for the detection of persistent scatterers(PSs).The interferograms are decomposed from different angles,and noises contained in the decomposed intrinsic mode function(IMF)are strongly filtered in the low signal-to-noise ratio regions and weakly filtered in the high signal-to-noise ratio regions based on gradient adaptive filtering;the noise phase of each persistent scatterer candidate(PSC)point is estimated after filtering.Based on the stability of the amplitude and the phase of each PSC point,the phase information of the selected PSC point is analyzed to determine its probability of being a PS point,and the reliable PS points are selected.The experimental results denote that the proposed method avoids misjudgment and omission possibilities in the process of PS point detection with higher accuracy when compared to that exhibited by the traditional PS point detection method.
In this study,an improved method based on empirical mode decomposition is proposed for the detection of persistent scatterers(PSs).The interferograms are decomposed from different angles,and noises contained in the decomposed intrinsic mode function(IMF)are strongly filtered in the low signal-to-noise ratio regions and weakly filtered in the high signal-to-noise ratio regions based on gradient adaptive filtering;the noise phase of each persistent scatterer candidate(PSC)point is estimated after filtering.Based on the stability of the amplitude and the phase of each PSC point,the phase information of the selected PSC point is analyzed to determine its probability of being a PS point,and the reliable PS points are selected.The experimental results denote that the proposed method avoids misjudgment and omission possibilities in the process of PS point detection with higher accuracy when compared to that exhibited by the traditional PS point detection method.
引文
[1]Ciampalini A,Raspini F,Lagomarsino D,et al.Landslide susceptibility map refinement using PSInSAR data[J].Remote Sensing of Environment,2016,184:302-315.
[2]Crosetto M,Monserrat O,Iglesias R,et al.Persistent scatterer interferometry:potential,limits and initial c-and x-band comparison[J].Photogrammetric Engineering and Remote Sensing,2010,76(9):1061-1069.
[3]Huang C J,Guo J M,Yu X D,et al.Ground deformation monitoring in Tongzhou based on high resolution SAR images[J].Journal of the Indian Society of Remote Sensing,2016,44(4):495-504.
[4]Ferretti A,Prati C,Rocca F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[5]Ferretti A,Fumagalli A,Novali F,et al.A new algorithm for processing interferometric data-stacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[6]Vilardo G,Isaia R,Ventura G,et al.InSARpermanent scatterer analysis reveals fault reactivation during inflation and deflation episodes at Campi Flegrei caldera[J].Remote Sensing of Environment,2010,114(10):2373-2383.
[7]Nie Y J,Liu G X,Shi J F,et al.Improved method for persistent scatterer detection and its application[J].Journal of Remote Sensing,2013,17(3):626-639.聂运菊,刘国祥,石金峰,等.改进的PS探测方法及其应用[J].遥感学报,2013,17(3):626-639.
[8]Kampes B M,Hanssen R F.Ambiguity resolution for permanent scatterer interferometry[J].IEEETransactions on Geoscience and Remote Sensing,2004,42(11):2446-2453.
[9]Tao Q X,Liu G L,Sun C Y.Identification and selection of persistent scatterer pixels from SARimages[J].Journal of Applied Sciences,2009,27(5):508-513.陶秋香,刘国林,孙翠羽.SAR图像中PS点的识别与选取[J].应用科学学报,2009,27(5):508-513.
[10]Piacentini D,Devoto S,Mantovani M,et al.Landslide susceptibility modeling assisted by Persistent Scatterers Interferometry(PSI):an example from the northwestern coast of Malta[J].Natural Hazards,2015,78(1):681-697.
[11]Huang C J,Guo J M,Yu X D,et al.The study of interferogram denoising method based on EMD and adaptive filter[J].Acta Geodaetica et Cartographica Sinica,2013,42(5):707-714.黄长军,郭际明,喻小东,等.干涉图EMD-自适应滤波去噪法[J].测绘学报,2013,42(5):707-714.
[12]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London Series A:Mathematical,Physical and Engineering Sciences,1998,454(1971):903-995.
[13]Wang X C,Hu J P,Zhang D B,et al.Efficient EMDand Hilbert spectra computation for 3D geometry processing and analysis via space-filling curve[J].The Visual Computer,2015,31(6/7/8):1135-1145.
[14]Kopsinis Y,McLaughlin S.Development of EMD-based denoising methods inspired by wavelet thresholding[J].IEEE Transactions on Signal Processing,2009,57(4):1351-1362.
[15]Yue H Y,Guo H D,Han C M,et al.A SARinterferogram filter based on the empirical mode decomposition method[J].High Technology Letters,2001,11(12):37-40.岳焕印,郭华东,韩春明,等.经验模态分解技术在SAR干涉图滤波中的应用[J].高技术通讯,2001,11(12):37-40.
[16]Yang Y H,Li Y,Zhu X Y.A novel oil spill detection method from synthetic aperture radar imageries via a bidimensional empirical mode decomposition[J].Acta Oceanologica Sinica,2017,36(7):86-94.
[17]Djebala A,Babouri M K,Ouelaa N.Rolling bearing fault detection using a hybrid method based on Empirical Mode Decomposition and optimized wavelet multi-resolution analysis[J].The International Journal of Advanced Manufacturing Technology,2015,79(9/10/11/12):2093-2105.
[18]Liao M S,Lin H,Zhang Z X,et al.Adaptive algorithm for filtering interferometric phase noise[J].Journal of Remote Sensing,2003,7(2):98-105.廖明生,林珲,张祖勋,等.INSAR干涉条纹图的复数空间自适应滤波[J].遥感学报,2003,7(2):98-105.
[19]Hooper A,Zebker H,Segall P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):1-5.
[20]Li Y Y,Wu H,Chang X L,et al.Multi-view stereo positioning error analysis based on spaceborne optics and SAR images[J].Acta Optica Sinica,2018,38(5):0528003.李莹莹,吴昊,常学立,等.基于星载光学和SAR影像的多视立体定位误差分析[J].光学学报,2018,38(5):0528003.
[21]Yi W,Zeng Y,Yuan Z.Fusion of GF-3SAR and optical images based on the nonsubsampled contourlet transform[J].Acta Optica Sinica,2018,38(11):1110002.易维,曾湧,原征.基于NSCT变换的高分三号SAR与光学图像融合[J].光学学报,2018,38(11):1110002.
[2]Crosetto M,Monserrat O,Iglesias R,et al.Persistent scatterer interferometry:potential,limits and initial c-and x-band comparison[J].Photogrammetric Engineering and Remote Sensing,2010,76(9):1061-1069.
[3]Huang C J,Guo J M,Yu X D,et al.Ground deformation monitoring in Tongzhou based on high resolution SAR images[J].Journal of the Indian Society of Remote Sensing,2016,44(4):495-504.
[4]Ferretti A,Prati C,Rocca F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[5]Ferretti A,Fumagalli A,Novali F,et al.A new algorithm for processing interferometric data-stacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[6]Vilardo G,Isaia R,Ventura G,et al.InSARpermanent scatterer analysis reveals fault reactivation during inflation and deflation episodes at Campi Flegrei caldera[J].Remote Sensing of Environment,2010,114(10):2373-2383.
[7]Nie Y J,Liu G X,Shi J F,et al.Improved method for persistent scatterer detection and its application[J].Journal of Remote Sensing,2013,17(3):626-639.聂运菊,刘国祥,石金峰,等.改进的PS探测方法及其应用[J].遥感学报,2013,17(3):626-639.
[8]Kampes B M,Hanssen R F.Ambiguity resolution for permanent scatterer interferometry[J].IEEETransactions on Geoscience and Remote Sensing,2004,42(11):2446-2453.
[9]Tao Q X,Liu G L,Sun C Y.Identification and selection of persistent scatterer pixels from SARimages[J].Journal of Applied Sciences,2009,27(5):508-513.陶秋香,刘国林,孙翠羽.SAR图像中PS点的识别与选取[J].应用科学学报,2009,27(5):508-513.
[10]Piacentini D,Devoto S,Mantovani M,et al.Landslide susceptibility modeling assisted by Persistent Scatterers Interferometry(PSI):an example from the northwestern coast of Malta[J].Natural Hazards,2015,78(1):681-697.
[11]Huang C J,Guo J M,Yu X D,et al.The study of interferogram denoising method based on EMD and adaptive filter[J].Acta Geodaetica et Cartographica Sinica,2013,42(5):707-714.黄长军,郭际明,喻小东,等.干涉图EMD-自适应滤波去噪法[J].测绘学报,2013,42(5):707-714.
[12]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London Series A:Mathematical,Physical and Engineering Sciences,1998,454(1971):903-995.
[13]Wang X C,Hu J P,Zhang D B,et al.Efficient EMDand Hilbert spectra computation for 3D geometry processing and analysis via space-filling curve[J].The Visual Computer,2015,31(6/7/8):1135-1145.
[14]Kopsinis Y,McLaughlin S.Development of EMD-based denoising methods inspired by wavelet thresholding[J].IEEE Transactions on Signal Processing,2009,57(4):1351-1362.
[15]Yue H Y,Guo H D,Han C M,et al.A SARinterferogram filter based on the empirical mode decomposition method[J].High Technology Letters,2001,11(12):37-40.岳焕印,郭华东,韩春明,等.经验模态分解技术在SAR干涉图滤波中的应用[J].高技术通讯,2001,11(12):37-40.
[16]Yang Y H,Li Y,Zhu X Y.A novel oil spill detection method from synthetic aperture radar imageries via a bidimensional empirical mode decomposition[J].Acta Oceanologica Sinica,2017,36(7):86-94.
[17]Djebala A,Babouri M K,Ouelaa N.Rolling bearing fault detection using a hybrid method based on Empirical Mode Decomposition and optimized wavelet multi-resolution analysis[J].The International Journal of Advanced Manufacturing Technology,2015,79(9/10/11/12):2093-2105.
[18]Liao M S,Lin H,Zhang Z X,et al.Adaptive algorithm for filtering interferometric phase noise[J].Journal of Remote Sensing,2003,7(2):98-105.廖明生,林珲,张祖勋,等.INSAR干涉条纹图的复数空间自适应滤波[J].遥感学报,2003,7(2):98-105.
[19]Hooper A,Zebker H,Segall P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):1-5.
[20]Li Y Y,Wu H,Chang X L,et al.Multi-view stereo positioning error analysis based on spaceborne optics and SAR images[J].Acta Optica Sinica,2018,38(5):0528003.李莹莹,吴昊,常学立,等.基于星载光学和SAR影像的多视立体定位误差分析[J].光学学报,2018,38(5):0528003.
[21]Yi W,Zeng Y,Yuan Z.Fusion of GF-3SAR and optical images based on the nonsubsampled contourlet transform[J].Acta Optica Sinica,2018,38(11):1110002.易维,曾湧,原征.基于NSCT变换的高分三号SAR与光学图像融合[J].光学学报,2018,38(11):1110002.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |