系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
Systems Engineering and Electronics
2015年
12期
2719-2724
,共6页
李芳芳%林雪%胡东辉%丁赤飚
李芳芳%林雪%鬍東輝%丁赤飚
리방방%림설%호동휘%정적표
干涉合成孔径雷达%相位滤波%小波变换%局部频率估计%阈值收缩
榦涉閤成孔徑雷達%相位濾波%小波變換%跼部頻率估計%閾值收縮
간섭합성공경뢰체%상위려파%소파변환%국부빈솔고계%역치수축
interferometric synthetic aperture radar (InSAR)%phase filtering%wavelet transform%local frequency estimation%threshold shrinkage
干涉相位噪声的存在直接影响相位解缠的效果及最终干涉测量的精度。针对这一问题,本文提出了一种结合局部频率估计的小波域干涉合成孔径雷达(interferometric synthetic aperture radar,InSAR)相位滤波方法。根据局部频率估计可以判断出干涉相位小波系数中包含有用信息的子带。结合 VisuShrink 和 NeighShrink两种小波阈值收缩方法分别具有去噪效果好和细节保持能力强的特点,对有用信息所在子带的小波系数利用NeighShrink 方法进行阈值收缩,而对其他子带的小波系数则利用 VisuShrink 方法进行阈值收缩,从而尽可能地滤除噪声,同时保持干涉条纹的细节信息不被破坏。仿真和实测数据实验验证了本文提出的滤波方法的有效性。
榦涉相位譟聲的存在直接影響相位解纏的效果及最終榦涉測量的精度。針對這一問題,本文提齣瞭一種結閤跼部頻率估計的小波域榦涉閤成孔徑雷達(interferometric synthetic aperture radar,InSAR)相位濾波方法。根據跼部頻率估計可以判斷齣榦涉相位小波繫數中包含有用信息的子帶。結閤 VisuShrink 和 NeighShrink兩種小波閾值收縮方法分彆具有去譟效果好和細節保持能力彊的特點,對有用信息所在子帶的小波繫數利用NeighShrink 方法進行閾值收縮,而對其他子帶的小波繫數則利用 VisuShrink 方法進行閾值收縮,從而儘可能地濾除譟聲,同時保持榦涉條紋的細節信息不被破壞。倣真和實測數據實驗驗證瞭本文提齣的濾波方法的有效性。
간섭상위조성적존재직접영향상위해전적효과급최종간섭측량적정도。침대저일문제,본문제출료일충결합국부빈솔고계적소파역간섭합성공경뢰체(interferometric synthetic aperture radar,InSAR)상위려파방법。근거국부빈솔고계가이판단출간섭상위소파계수중포함유용신식적자대。결합 VisuShrink 화 NeighShrink량충소파역치수축방법분별구유거조효과호화세절보지능력강적특점,대유용신식소재자대적소파계수이용NeighShrink 방법진행역치수축,이대기타자대적소파계수칙이용 VisuShrink 방법진행역치수축,종이진가능지려제조성,동시보지간섭조문적세절신식불피파배。방진화실측수거실험험증료본문제출적려파방법적유효성。
Phase noise in the interferogram directly affects the result of phase unwrapping and the precision of interferometirc measurement.A novel approach combining the local frequency estimation with wavelet trans-form is presented to reduce interferometric phase noise for interferometric synthetic aperture radar (InSAR). According to the local frequency estimation result,the subband of wavelet coefficients containing useful infor-mation can be found out.Based on the fact that the VisuShrink method has effective noise reduction ability and the NeighShrink method performs well in detail preservation,the wavelet coefficients containing useful informa-tion are shrunk by the NeighShrink method while the others are shrunk by the VisuShrink method.As a result, the noisy interferogram can be efficiently filtered without destroying the fringes.The experiments using the sim-ulated data and the real data demonstrate the validity of the proposed method.