捷联式海洋重力数据的小波阈值滤波     

韦建成  肖云  王利  孟宁  邹嘉盛 《大地测量与地球动力学》2019,39(11):1132-1136

基于捷联式海洋重力测量数据，对比不同小波、阈值及施加方式对滤波效果的影响。结果表明，db6、db7、db8、db9、db10、sym6、sym7、sym8、sym9、sym10、coif3、coif4和coif5小波较适用于海洋重力测量，小波分解层次可取至8层或9层，采用史坦无偏风险阈值滤波效果较好；小波分解至第8、9层时，阈值滤波结果与截止频率为0.005 Hz和0.003 3 Hz的Butterworth低通滤波器的滤波结果吻合较好，但小波阈值滤波结果更加平滑，两者差值的RMSE在0.25 mGal以内，且小波阈值滤波更容易分解出噪声成分，可以更有效地消除重力畸变。  相似文献   

加速迭代硬阈值ISAR稀疏成像     

雷大力  洪峻  王宇  费春娇 《遥感学报》2015,19(5):770-779

加速迭代硬阈值(AIHT)作为一种压缩感知(CS)算法,具有计算复杂度低、内存占用小的特点,在较小数目的观测下,经过有限次迭代便能获得较好的重建效果。因此,本文将该算法应用到逆合成孔径雷达(ISAR)稀疏成像,对该方法的具体特征和适用性进行了详细分析。仿真结果表明,在相同信噪比和回波脉冲数条件下,基于AIHT的ISAR成像方法,相比于稀疏贝叶斯算法(SBL),在重建时间上缩短了至少2个量级;相比于迭代加权最小二乘法(IRLS)和平滑l0范数算法,在重建质量上提高了约3倍。经实测数据处理结果验证,在1/4原始脉冲数条件下,该方法仍具有良好的聚焦性能和压低旁瓣效果。  相似文献   

Seismic data reconstruction based on iterative linear expansion of thresholds     

LUO Teng  LIU Cai  WANG dian  YANG Xueting  FU Wei  ZHOU Yin  HE Mei 《世界地质(英文版)》2015,18(2)

Based on the compressive sensing,a novel algorithm is proposed to solve reconstruction problem under sparsity assumptions.Instead of estimating the reconstructed data through minimizing the objective function,the authors parameterize the problem as a linear combination of few elementary thresholding functions,which can be solved by calculating the linear weighting coefficients.It is to update the thresholding functions during the process of iteration.The advantage of this method is that the optimization problem only needs to be solved by calculating linear coefficients for each time.With the elementary thresholding functions satisfying certain constraints,a global convergence of the iterative algorithm is guaranteed.The synthetic and the field data results prove the effectiveness of the proposed algorithm.  相似文献   

基于小波包变换的SAR干涉图去噪研究     

查显杰  傅容珊  戴志阳  刘斌  邵志刚  薛霆虓 《吉林大学学报(地球科学版)》2008,38(3):489-494

基于SAR复干涉图中噪声满足加性噪声模型,提出对复干涉图实部和虚部分别应用小波包软阈值方法的去噪方案。以Daubeachies小波为小波包基函数,对添加了噪声的模拟SAR干涉图进行去噪实验,发现三级小波包分解的去噪效果明显优于一级和二级分解。并进一步对实际的含噪干涉图进行了去噪实验,与小波包软阈值方法直接对干涉图去噪的结果进行了比较。实验结果证实了本文方案的有效性。  相似文献   

一种改进的小波阈值去噪方法   总被引：1，自引：0，他引：1  

曾守桢  朱建华 《海洋技术学报》2008,27(1):37-39

利用D.L.Donoho和I.M.Johnstone提出的小波阈值去噪方法,构造了一个新的阈值函数。与传统的硬、软阈值函数相比,该阈值函数克服了硬阈值函数不连续的缺点,且同软阈值函数一样具有连续性,便于进行各种数学处理;同时还克服了软阈值函数中估计小波系数与分解小波系数之间存在着恒定偏差的缺陷,它具有硬、软阈值函数不可比拟的灵活性。仿真结果表明,新的阈值函数的去噪效果有效抑制了在信号奇异点附近产生的Pseudo-Gibbs现象,无论是在视觉效果上,还是在信噪比增益上均优于传统的硬、软阈值方法。  相似文献   

基于OSTU算法利用新型水体指数进行Landsat数据自适应阈值水体自动提取研究     

赵紫薇 《测绘与空间地理信息》2016,(9):57-60

利用Landsat数据,结合NDWI与MNDWI提取水体信息的特点提出了一种新的水体指数NMWI,并结合OSTU算法自适应地确定最佳分割阈值,完成了对海洋、河流、湖泊和水库4种主要的典型水体信息的自动提取,均取得了较好的效果。  相似文献   

An efficient application of fusion approach for hot spot detection with MODIS and PALSAR-1 data     

Tasneem Ahmed  Shweta Gupta  Balasubramanian Raman 《国际地球制图》2016,31(7):715-738

Hot spot detection with satellite images, especially with synthetic aperture radar (SAR) images is still a challenging task. Several researchers have used TM/optical data for identification of hot spot but the use of SAR data is very limited for this type of application. The fusion of SAR data with TM/optical data may add additional information which in turn will lead for enhancement of detection capability of the hot spot. Therefore, this study explores the possibility of fusion of Moderate Resolution Imaging Spectroradiometer (MODIS) and Phased Array L-band Synthetic Aperture Radar (PALSAR) satellite images for the hot spot detection. Image fusion is emerging as a powerful tool where information of various sensors can be used for obtaining better results. For this purpose, vegetation greenness and roughness information which is obtained from MODIS and PALSAR satellite images, respectively, are used for fusion, and then, a contextual-based thresholding algorithm is applied to the fused image for hot spot detection. The proposed approach comprises of two steps: (1) application of genetic algorithm-based scheme for image fusion of MODIS and PALSAR satellite images, and (2) classification of the fused image as either hot spot or non-hot spot pixels by employing a contextual thresholding technique. The algorithm is tested over the Jharia Coal Field region of India, where hot spot is one of the major problems and it is observed that the proposed thresholding technique classifies the each pixel of the fused image into two categories: hot spot and non-hot spot and the proposed approach detects the hot spot with better accuracy and less false alarm.  相似文献   

卫星重力梯度测量数据的粗差探测   总被引：1，自引：0，他引：1  

罗志才  周波阳  钟波  吴怿昊 《武汉大学学报(信息科学版)》2012,37(12):1392-1396

分别讨论了阈值法、Dixon检验法和小波算法应用于卫星重力梯度数据粗差探测的效果。为了克服这3种单一粗差探测方法的不足,提出了卫星重力梯度数据的粗差探测组合方案,即联合Dixon检验和小波算法,以及联合Dixon检验、阈值法和小波算法的组合方案。模拟结果表明,两种组合方案均能有效改善粗差探测的效果。  相似文献   

Quantifying Organization of Atmospheric Turbulent Eddy Motion Using Nonlinear Time Series Analysis   总被引：3，自引：0，他引：3  

Karen H. Wesson  Gabriel G. Katul  Mario Siqueira 《Boundary-Layer Meteorology》2003,106(3):507-525

Using three methods from nonlinear dynamics, we contrast the level of organization inthe vertical wind velocity (w) time series collected in the atmospheric surface layer(ASL) and the canopy sublayer (CSL) for a wide range of atmospheric stability ()conditions. The nonlinear methods applied include a modified Shannon entropy, waveletthresholding, and mutual information content. Time series measurements collected overa pine forest, a hardwood forest, a grass-covered forest clearing, and a bare soil, desertsurface were used for this purpose. The results from applying all three nonlinear timeseries measures suggest that w in the CSL is more organized than that in the ASL, and that as the flows in both layers evolve from near-neutral to near-convective conditions, the level of organization increases. Furthermore, we found that the degree of organization in w associated with changes in is more significant than the transition from CSL to ASL.  相似文献   

基于小波变换系数自适应阈值法在语音去噪中的应用   总被引：2，自引：0，他引：2  

孙炯宁  傅德胜  徐永华 《南京气象学院学报》2005,28(1):133-137

在软阈值去噪算法基础上，根据小波变换后信号与噪音具有的奇异性，提出无偏风险自适应阈值估计算法，并应用于语音信号的去噪处理，实验结果表明该算法的最小均方误差低于其他的去噪算法。  相似文献