本文選題：卡爾曼濾波 + 全張量�。� 參考：《中國(guó)地質(zhì)大學(xué)(北京)》2015年碩士論文

【摘要】：礦產(chǎn)資源作為國(guó)家經(jīng)濟(jì)的重要戰(zhàn)略資源,探明其儲(chǔ)量及分布是一項(xiàng)重要工作。而在地質(zhì)礦產(chǎn)探測(cè)方面,地球物理方法是一項(xiàng)重要手段。磁法勘探作為地球物理方法的一種,在區(qū)域構(gòu)造推斷、磁性巖體劃分、巖層填圖等方面發(fā)揮了重要作用。隨著當(dāng)代信息技術(shù)、儀器以及計(jì)算機(jī)技術(shù)的發(fā)展,航空磁法勘探逐漸成為磁法勘探的主流方向。本文深入研究了航空全張量磁梯度測(cè)量系統(tǒng)的基本原理,在理論研究的基礎(chǔ)上完成相關(guān)正演程序的編寫,系統(tǒng)的分析了測(cè)量過程中噪聲的來源,針對(duì)噪聲特征優(yōu)選不同的濾波方法進(jìn)行壓制實(shí)驗(yàn)。一維剖面數(shù)據(jù)處理主要采用中值濾波和卡爾曼濾波進(jìn)行,二維網(wǎng)格數(shù)據(jù)主要采用中值濾波、高斯平滑濾波以及卡爾曼濾波進(jìn)行,同時(shí)以卡爾曼濾波為主要研究目標(biāo),通過模型試驗(yàn)對(duì)其規(guī)律函數(shù)進(jìn)行選取,進(jìn)一步完善其在全張量磁梯度數(shù)據(jù)中的應(yīng)用。理論模型測(cè)試表明,使用卡爾曼濾波能夠使噪聲得到有效的壓制,獲得信噪比更高的數(shù)據(jù)。在實(shí)際應(yīng)用中,選擇上海市橫沙島實(shí)驗(yàn)全張量磁梯度數(shù)據(jù),基本實(shí)現(xiàn)了上述方法在實(shí)際資料處理中的應(yīng)用�；谝陨涎芯�?jī)?nèi)容,本論文主要取得以下幾項(xiàng)成果:(1)研究了全張量磁梯度數(shù)據(jù)正演,編程實(shí)現(xiàn)了基本的正演,為后續(xù)數(shù)據(jù)預(yù)處理工作奠定基礎(chǔ);(2)針對(duì)全張量磁梯度測(cè)量特點(diǎn),研究了已有的中值濾波、高斯平滑濾波及卡爾曼濾波方法,編程實(shí)現(xiàn)了相應(yīng)的濾波器,并通過模型數(shù)據(jù)驗(yàn)證濾波方法的適(3)研究卡爾曼濾波基本理論,基本掌握了其基本性質(zhì)及應(yīng)用,建立模型驗(yàn)證其參數(shù)選取與其他方法濾波的效果對(duì)比得到相關(guān)的研究成果;(4)基于一維及二維數(shù)據(jù)濾波方法,編程實(shí)現(xiàn)數(shù)據(jù)處理可視化;(5)對(duì)比不同濾波器針對(duì)全張量磁梯度數(shù)據(jù)處理效果,得出相關(guān)結(jié)論。
[Abstract]:Mineral resources, as an important strategic resource of national economy, is an important work to prove its reserves and distribution. In geological and mineral exploration, geophysical method is an important means. As a kind of geophysical method, magnetic exploration plays an important role in regional tectonic inference, magnetic rock mass classification and rock mapping. With the development of modern information technology, instruments and computer technology, aeromagnetic exploration has become the mainstream of magnetic exploration. In this paper, the basic principle of aeronautical full Zhang Liang magnetic gradient measurement system is deeply studied, and the related forward program is compiled on the basis of theoretical research. The source of noise in the measurement process is systematically analyzed. According to the noise characteristics, different filtering methods are selected to carry out suppression experiments. One-dimensional section data processing mainly adopts median filter and Kalman filter. Two-dimensional grid data mainly adopts median filter, Gao Si smoothing filter and Kalman filter. At the same time, Kalman filter is taken as the main research object. Through the model test, its regular function is selected, and its application in the full Zhang Liang magnetic gradient data is further improved. Theoretical model tests show that using Kalman filter can effectively suppress noise and obtain higher SNR data. In the practical application, the Zhang Liang magnetic gradient data of Shanghai Hengsha Island experiment are selected, and the application of the above method in the practical data processing is basically realized. Based on the above research content, this paper mainly obtained the following achievements: 1) studied the forward modeling of the full Zhang Liang magnetic gradient data, programmed the basic forward modeling, laid the foundation for the follow-up data preprocessing work, and aimed at the characteristics of the full Zhang Liang magnetic gradient measurement. The existing median filter, Gao Si smoothing filter and Kalman filter are studied, and the corresponding filter is programmed. The basic theory of Kalman filter is studied through the model data validation. The basic properties and applications are mastered, and the model is established to verify that the selection of its parameters is compared with the results of other filtering methods, and the relevant research results are obtained, which are based on one-dimensional and two-dimensional data filtering methods. The visualization of data processing by programming is compared with the effect of different filters for full Zhang Liang magnetic gradient data processing, and the relevant conclusions are obtained.
【學(xué)位授予單位】：中國(guó)地質(zhì)大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P631.24

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 王靜波;熊盛青;郭志宏;周錫華;;航空重力數(shù)據(jù)Kalman濾波平滑技術(shù)應(yīng)用研究[J];地球物理學(xué)進(jìn)展;2012年04期

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本文編號(hào)：1873998