计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
10期
10-13
,共4页
相位解缠%加权卡尔曼滤波%InSAR%掩膜%误差传递
相位解纏%加權卡爾曼濾波%InSAR%掩膜%誤差傳遞
상위해전%가권잡이만려파%InSAR%엄막%오차전체
phase unwrapping%weighted Kalman filter%InSAR%mask%error propagation
卡尔曼滤波将相位解缠转化为状态估计问题,同时实现相位解缠与噪声消除.由于原始雷达信号以及后处理过程中产生的诸多误差,造成相位数据不连续产生局部误差传递,使得解缠结果不准确.提出一种基于掩膜的加权卡尔曼滤波相位解缠算法.该算法通过对包缠数据中的低质量区域进行掩膜处理,对掩膜后的高质量区域进行卡尔曼滤波相位解缠,再对掩膜区域实施加权卡尔曼滤波相位解缠,得到了较为可靠的相位解缠结果.采用仿真数据和ALOS卫星的山东兖矿地区干涉SAR数据进行实验,验证了算法的有效性和可靠性.
卡爾曼濾波將相位解纏轉化為狀態估計問題,同時實現相位解纏與譟聲消除.由于原始雷達信號以及後處理過程中產生的諸多誤差,造成相位數據不連續產生跼部誤差傳遞,使得解纏結果不準確.提齣一種基于掩膜的加權卡爾曼濾波相位解纏算法.該算法通過對包纏數據中的低質量區域進行掩膜處理,對掩膜後的高質量區域進行卡爾曼濾波相位解纏,再對掩膜區域實施加權卡爾曼濾波相位解纏,得到瞭較為可靠的相位解纏結果.採用倣真數據和ALOS衛星的山東兗礦地區榦涉SAR數據進行實驗,驗證瞭算法的有效性和可靠性.
잡이만려파장상위해전전화위상태고계문제,동시실현상위해전여조성소제.유우원시뢰체신호이급후처리과정중산생적제다오차,조성상위수거불련속산생국부오차전체,사득해전결과불준학.제출일충기우엄막적가권잡이만려파상위해전산법.해산법통과대포전수거중적저질량구역진행엄막처리,대엄막후적고질량구역진행잡이만려파상위해전,재대엄막구역실시가권잡이만려파상위해전,득도료교위가고적상위해전결과.채용방진수거화ALOS위성적산동연광지구간섭SAR수거진행실험,험증료산법적유효성화가고성.
The Kalman filter transforms the phase unwrapping problem into the state estimate issue to deal with phase unwrapping and noise eliminating at the same time. But the original radar signal and post-processing producing a lot of errors and others can cause phase discontinuity and local error propagation, unwrapped result is not accurate. Therefore, weighted Kalman filter phase unwrapping algorithm based on mask is proposed. Through the low-quality region in wrapped phase is masked, Kalman filter is implemented in the high-quality region after masked. When the high-quality region is unwrapped correctly, weighted Kalman filter is implemented in the masked off low-quality region, then a reliable unwrapping result is obtained. Using simulated data and InSAR data of ALOS satellite in Shandong Yanzhou mining area, it is verified that the proposed algorithm is effective and reliable.