共查询到20条相似文献，搜索用时 281 毫秒
1.
Rosec O. Boucher J.-M. Nsiri B. Chonavel T. 《Oceanic Engineering, IEEE Journal of》2003,28(3):502-512
In order to improve the resolution of seismic images, a blind deconvolution of seismic traces is necessary, since the source wavelet is not known and cannot be considered as a stationary signal. The reflectivity sequence is modeled as a Gaussian mixture, depending on three parameters (high and low reflector variances and reflector density), on the wavelet impulse response, and on the observation noise variance. These parameters are unknown and must be estimated from the recorded trace, which is the reflectivity convolved with the wavelet, plus noise. Two methods are compared in this paper for the parameter estimation. Since we are considering an incomplete data problem, we first consider maximum likelihood estimation by means of a stochastic expectation maximization (SEM) method. Alternatively, proper prior distributions can be specified for all unknown quantities. Then, a Bayesian strategy is applied, based on a Monte Carlo Markov Chain (MCMC) method. Having estimated the parameters, one can proceed to the deconvolution. A maximum posterior mode (MPM) criterion is optimized by means of an MCMC method. The deconvolution capability of these procedures is checked first on synthetic signals and then on the seismic data of the IFREMER ESSR4 campaign, where the wavelet duration blurs the reflectivity, and on the SMAVH high-resolution marine seismic data. 相似文献
2.
A method is described for measuring the sound speed and the sound-speed gradient of surficial sea floor sediment from bottom-reflected signals recorded in marine seismic experiments. The technique makes use of the ocean-bottom impulse responses that are deconvolved from the data by means of a novel curve-fitting algorithm based on thel_{1} norm (least absolute value) criterion. The algorithm constructs the impulse response by extracting spikes one at a time in a manner that causes thel_{1} error to decrease by the maximum amount possible as each spike is chosen. Thel_{1} curve-fitting approach is a completely general strategy for deconvolution, and our algorithm can be used with data obtained from any type of marine seismic source. Since our experiments have been carried out with small explosive charges, we have also developed a method for estimating the bubble-pulse wavelet directly from the recorded bottom-reflected signal. In this paper, thel_{1} algorithm is used to deconvolve impulse responses for data obtained in an experiment in the Alaskan Abyssal Plain. The sediment-sound-speed gradient determined from these results is typical of other values reported for turbidite abyssal plains where the surficial sediments are composed of unconsolidated silty deposits. 相似文献
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对于海岸工程的研究而言,测定泥沙、砾石、卵石等颗粒物的中值粒径具有重要的研究意义。近年来,许多学者逐渐将统计学方法应用于分析泥沙等颗粒物的粒径大小及其级配分布,小波变换是该研究领域时新的统计计算数学方法之一。由于一维连续小波变换(1D-CWT)在估算颗粒数值粒径方面存在一定的局限性,本研究基于二维连续小波变换(2D-CWT),提出了新的颗粒物粒径统计学分析方法,用于估算筛分良好的颗粒物中值粒径。以玻璃珠、卵石块和砾石三类不同性质的颗粒物构建数字粒径实验分析样本,对新方法进行了测试和验证。研究表明基于2D-CWT的数字粒径分析方法能够快速、便捷地估算出筛分良好的颗粒物的中值粒径,且计算结果准确、稳定。相较于基于1D-CWT的数字粒径分析方法,2D-CWT方法在颗粒物数字粒径分析方面有着更高的计算成功率和更广的适用性。 相似文献
4.
介绍采用谱分析原理提取海浪信息的方法。根据GPS浮标测量得到的海浪高度数据,先通过滑动平均的方法分离海浪信息和潮流潮位信息,然后对海浪信息采用AR模型法进行功率谱估计,并对海浪信息进行连续小波变换,对AR模型法功率谱估计结果和小波变换结果进行综合研究,提取海浪特征参数———周期。最后通过一个GPS浮标试验对上述方法进行了验证。 相似文献
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The problem of tracking the directions-of-arrival (DOAs) of multiple moving sonar targets with an array of passive sensors is complicated by sensor movement. An algorithm for the joint tracking of source DOAs and sensor positions is presented to address this problem. Initial maximum-likelihood estimates of source DOAs and sensor positions are refined by Kalman filtering. Spatio-temporally correlated array movement is considered. Source angle dynamics are used to achieve correct data association. The new technique is capable of performing well for the difficult cases of sources that cross in angle as well as for fully coherent sources. Computer simulations show that the approach is robust in the presence of array motion modeling uncertainty and effectively reduces dependence on expensive and possibly unreliable hardware 相似文献
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本文提出一种基于支持向量回归的统计预报方法,通过经验正交分解对原始数据矩阵进行时空分解,提取出空间模态和时间系数。由于海面高度变化具有非线性、大惯性的特点,对时间系数进行小波分析,能有效滤除其中的高频信号,得到表征海面高度变化的低频信号。利用支持向量回归方法对小波分解后的低频信号构建预报模型。最后,进行小波重构,还原时间序列长度,实现未来7天的海面高度预报。通过黑潮附近海域的海面高度预报结果验证,该预报方法的预报效果优于整合滑动平均自回归预报方法。本文通过机器学习的算法实现了海面高度的预报,为海洋预报方法提供了新的思路。 相似文献
7.
在野外采集中考察气枪的稳定性以及室内进行确定性子波反褶积处理,都要求能够获得气枪阵列的实时远场子波。从震源子波检测方法出发,阐述了近场子波采集、幅值转换及记录流程,并列举出实测近场子波时需要考虑解决的问题;接着介绍了震源远场子波的获取方法和主要途径;震源近场子波及远场子波的实测方案,检测震源子波所需的仪器设备和采集技术方法。文中分析了气枪子波的气泡干扰问题,虚反射与后续气泡震荡间的关系以及吸收衰减对子波的影响,并根据实测远场子波,对齐氏和范氏两种气体模型进行了模拟效果对比,结果表明:采用范氏气体模型所模拟的子波与实际子波更为吻合,模拟出的气枪的子波波形、振幅大小、气泡周期上,与业界通用的Nucleus软件的模拟结果吻合较好,在后续的使用中将继续优化。 相似文献
8.
Mehmet Özger 《Ocean Engineering》2010,37(16):1443-1451
Wave heights and periods are the significant inputs for coastal and ocean engineering applications. These applications may require to obtain information about the sea conditions in advance. This study aims to propose a forecasting scheme that enables to make forecasts up to 48 h lead time. The combination of wavelet and fuzzy logic approaches was employed as a forecasting methodology. Wavelet technique was used to separate time series into its spectral bands. Subsequently, these spectral bands were estimated individually by fuzzy logic approach. This combination of techniques is called wavelet fuzzy logic (WFL) approach. In addition to WFL method, fuzzy logic (FL), artificial neural networks (ANN), and autoregressive moving average (ARMA) methods were employed to the same data set for comparison purposes. It is seen that WFL outperforms those methods in all cases. The superiority of the WFL in model performances becomes very clear especially in higher lead times such as 48 h. Significant wave height and average wave period series obtained from buoys located off west coast of US were used to train and test the proposed models. 相似文献
9.
基于DeepLabv3架构的高分辨率遥感图像分类 总被引：1，自引：0，他引：1
针对目前使用机器学习解决高分辨率遥感图像分类主要存在下采样导致的细节信息丢失问题,提出了一种基于DeepLabv3架构的小波域DeepLabv3-MRF(Markov random field,MRF)算法。选择当前较为普遍的DeepLabv3架构分类算法,能够获得更为精确的分类结果;采用小波域DeepLabv3-MRF算法,还能够获得更为清晰的边缘细节信息。选取南方某地区高分辨率无人机遥感图像进行分类实验,通过小波变换的方向性、非冗余性以及MRF变换像素空间的交互性这三个方面,将分类结果与原始DeepLabv3架构分类结果对比分析。结果表明,所提出的分类方法精度明显高于原始DeepLabv3架构分类算法的精度,总体精度可提升3%左右,并且可以充分表达高分辨率遥感图像细节信息。 相似文献
10.
Mathieu J. Duchesne Gilles Bellefleur Mike Galbraith Randy Kolesar Rick Kuzmiski 《Marine Geophysical Researches》2007,28(2):153-164
A sparker is a marine seismic impulsive source used for high-resolution seismic surveys. Sparker sources were very popular
during the late 1960s and 1970s before being supplanted by small volume airguns. However, in the last 10 years there has been
renewed interest in sparker technology because (1) it can be easily deployed at relatively low costs and (2) in certain areas
the use of small airguns is restricted for environmental purposes. In this study a sparker source was used to assess the seismic
stratigraphy of Quaternary deposits and to image the sediment/bedrock interface. Three different inverse filtering methods
were tested (i.e., spiking deconvolution, match-filtering and vertical seismic profile (VSP) deconvolution) to correct the
poor shot-to-shot repeatability of the source and to compress its reverberations. Results show that the matched-filter and
VSP deconvolution methods, which design and apply one operator for each shot, produced comparable results, whereas the spiking
deconvolution that used the same operator on all traces failed to compress the source signature properly. 相似文献
11.
Time-delay estimation is important in a wide range of applications in oceanic engineering. In this paper, we present a novel time-delay estimation algorithm based on maximum likelihood theory for the case that the measurements are corrupted by colored or nonuniform zero-mean Gaussian noise. It turns out that the likelihood function associated with the problem is highly oscillatory, and we propose a computationally efficient technique to maximize this function. Our algorithm first obtains an initial estimate based on a smooth approximate cost function, and then refines this estimate based on the true cost function. Simulation results show that our estimator outperforms a traditional phaseshift based estimator, and that the estimation error approaches the Cramer-Rao bound when the SNR increases without bound 相似文献
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针对多传感器观测环境下带乘性噪声系统的逆向最优滤波与反褶积融合估计问题 ,本文提出了 1种基于极大似然准则的最优融合算法。该算法中各单传感器间并行计算 ,并且融合中心与单传感器处理中心间无反向通讯 ,因而执行效率较高。仿真表明 ,该融合算法产生的逆向滤波与反褶积比单传感器处理结果有较明显提高 相似文献
15.
In this paper, we use a neural network to carry out angle-of-arrival (AOA) estimation in a multipath oceanic environment. In particular, the AOA problem is considered as a mapping from the space of AOA to the space of the sensor output. A neural network is used to determine the inverse mapping from the sensor output space to the space of AOA and this inversion is realized using a radial basis function (RBF) network. We will present the development of the RBF approach for AOA estimation. Simulations are carried out to understand the efficiency and performance of this method. Furthermore, real data are used to evaluate the RBF approach and the results demonstrate the robustness and effectiveness of this neural network method 相似文献
16.
一种适用于小信噪比条件的运动声源目标定位方法 总被引：7，自引：0，他引：7
本文把长时间积分与匹配场结合起来进行处理,对来自匹配场处理器的能量进行长时间积分,为解决弱信号和衰落信号下的目标检测和定位问题提供了一条新的途径。仿真结果表明：在小信噪比（－３５ｄＢ）情况下仍可对运动声源目标精确定位。 相似文献
17.
利用非抽取小波变换的平移不变性和冗余性的特点,在贝叶斯估计下,结合广义高斯分布(GGD)对小波系数进行建模,构造了一个基于拉普拉斯分布的MapShrink子带自适应图像去噪算法和阈值函数。对HH1子带小波系数进行2j抽取,并估计噪声方差,该算法有效地抑制了伪吉布斯现象。仿真结果表明,利用新算法进行水下红外图像去噪,在信噪比增益和最小均方误差意义上均优于传统的Bayesian去噪方法。 相似文献
18.
Propagation modeling in the ocean may be said to be a fairly mature subject, with a number of reliable and efficient acoustic models freely distributed. However, acoustic modeling to predict effects of sound on marine mammals presents some particular challenges. Standard sonar models predict the mean power levels for static receivers. However, marine-mammal researchers have shown a strong interest in being able to predict the actual time series that a moving mammal would experience as it swims through an ensonified ocean. The time series can then be used to directly model auditory models of the mammalian ear. To do this properly requires attention to subtle Doppler effects. The authors present a Gaussian-beam-tracing method that handles all these issues. Another key element needed for such models is the ability to rapidly predict three-dimensional (3-D) acoustic fields for lots of source/receiver combinations. This problem arises in trying to choose optimal locations for navy exercises, considering also a variety of hypothesized mammal-migration patterns. The authors discuss a precomputation approach to solve this problem. Finally, they examine a technique to reduce the computation needed for the one-third octave transmission loss (TL) averages. The one-third octave average is often used as a metric for the assessment of risk to mammals. The brute-force solution to this problem requires propagation modeling at many frequencies in the band. Here, the authors develop a general relationship to replace those frequency averages with much more easily computed range averages. The novelty of this approach relative to the previous range-averaging techniques is that it extends those methods to the range-dependent conditions. 相似文献
19.
地震勘探的BSR识别技术是发现海洋天然气水合物的最经济、快捷、方便、有效的方法.在地震处理识别上,对子波的精确处理是水合物地震资料处理中最关键的一个环节,采用最小平方误差准则,即利用实际输出与期望输出的误差平方和为最小的条件,来确定反滤波因子,因此又称为最小平方子波整形.在地震处理程序中引入三种期望输出,即俞氏子波、雷克子波、Buttworth子波,对子波零相位化有较好的效果.根据上面的原理,我们开发了一套最小平方反滤波地震处理软件,对天然气水合物地震勘探资料进行试处理的结果表明,该软件在提高分辨率的同时保持了较高的信噪比. 相似文献
20.
《Oceanic Engineering, IEEE Journal of》2008,33(2):182-197