【摘要】：滑坡是四川盆地周邊較為普遍的典型地質(zhì)災(zāi)害之一,它一方面受到地球本身構(gòu)造運(yùn)動(dòng)等內(nèi)因的作用、另一方面也受到水利設(shè)施和地下工程等人類活動(dòng)的影響,給周邊居民造成了嚴(yán)重的人員傷亡和經(jīng)濟(jì)損失。因此,有必要對(duì)其進(jìn)行及時(shí)、準(zhǔn)確的監(jiān)測(cè),以便進(jìn)行應(yīng)急管理并確定適當(dāng)?shù)念A(yù)防措施；積極發(fā)展科學(xué)有效的新型滑坡監(jiān)測(cè)途徑與預(yù)警技術(shù)迫在眉睫。針對(duì)現(xiàn)有地面監(jiān)測(cè)手段與空間遙感技術(shù)在空間分辨率、測(cè)量精度、氣候條件制約以及及時(shí)性、有效性方面存在的諸多局限與不足,近年來新興的地面合成孔徑干涉雷達(dá)(地基雷達(dá))在該領(lǐng)域取得長足發(fā)展,已充分展現(xiàn)出其巨大的應(yīng)用潛力與重要的現(xiàn)實(shí)意義和經(jīng)濟(jì)價(jià)值。然而地基雷達(dá)所采用的短波段在實(shí)際監(jiān)測(cè)過程中易受大氣的影響。國內(nèi)外不同學(xué)者提出了各自的解決辦法,但是由于大氣的復(fù)雜性,各種方法存在一定的局限性,目前還未建立有效的統(tǒng)一模型。針對(duì)此問題,本文在結(jié)合國內(nèi)外學(xué)者的基礎(chǔ)上提出了多模型大氣改正算法,并用于實(shí)際滑坡監(jiān)測(cè)與分析中。再者地基雷達(dá)采用斜距投影方式使得成像與常規(guī)的影像存在很大的區(qū)別,特別是在地形復(fù)雜的山區(qū),使得圖像解譯非常困難。有鑒于此,本研究在視域分析的基礎(chǔ)上對(duì)投影改正進(jìn)行了改進(jìn)研究。本文的具體工作如下：(1)為了更好地研究大氣改正,參考國內(nèi)外不同學(xué)者研制角反射器的基礎(chǔ)上自主研發(fā)了三維移動(dòng)平臺(tái)。該平臺(tái)具有高精度、易操作、穩(wěn)定、體積小等優(yōu)點(diǎn)�？赡M空間三維移動(dòng),驗(yàn)證測(cè)量?jī)x器的精度。(2)提出了多模型大氣改正模型。該模型從穩(wěn)定點(diǎn)的選擇、模型的選取、精度評(píng)定三個(gè)方面形成了自動(dòng)一體化的流程。該算法從信噪比和相位穩(wěn)定性出發(fā)選取有效的穩(wěn)定點(diǎn),在時(shí)域內(nèi)根據(jù)穩(wěn)定點(diǎn)的個(gè)數(shù)采用不同模型對(duì)比分析,并選擇合適的模型,減少了由于人工干預(yù)造成的誤差。并用于大氣分析和滑坡監(jiān)測(cè)實(shí)例中,取得了良好的效果。(3)基于可視域分析的投影改正。為了有效地消除投影改正中出現(xiàn)的錯(cuò)誤,本研究在投影改正之前對(duì)獲得的數(shù)據(jù)進(jìn)行視域分析,去除雷達(dá)視角中的不可見區(qū)域,提高查找效率和可靠性。通過模擬研究表明該算法具有實(shí)際可操作性。(4)基于地基雷達(dá)的雅安磽磧水庫滑坡監(jiān)測(cè)與分析。磽磧水庫周邊滑坡嚴(yán)重,嚴(yán)重威脅人員和財(cái)產(chǎn)安全,本文利用地基雷達(dá)對(duì)其進(jìn)行監(jiān)測(cè)研究。本次監(jiān)測(cè)采用本文提出的多模型改正算法有效地去除了區(qū)域大氣影響。結(jié)合所獲得的數(shù)據(jù)與實(shí)際調(diào)查,分析滑坡的時(shí)空演變特性,表明該處滑坡具有蠕變特性。研究表明該監(jiān)測(cè)區(qū)域兩處區(qū)域形變比較大,值得特別注意。通過理論和實(shí)例結(jié)果表明,本文提出的多模型改正算法具有自動(dòng)一體化的優(yōu)點(diǎn),能減少由于人為因素造成的大氣改正誤差,在滑坡實(shí)際應(yīng)用中表明具有良好的適用性。通過模擬研究得出基于可視分析的投影改正算法能夠有效的提高投影改正的可靠性,具有實(shí)際應(yīng)用可行性。
[Abstract]:Landslide is one of the typical geological hazards around Sichuan Basin. On the one hand, it is affected by the internal factors such as tectonic movement of the earth itself, on the other hand, it is also affected by human activities such as water conservancy facilities and underground engineering, which has caused serious casualties and economic losses to the surrounding residents. It is urgent to develop scientific and effective new monitoring approaches and early warning techniques for landslides. There are many problems in spatial resolution, measurement accuracy, climate constraints, timeliness and effectiveness of existing ground monitoring methods and spatial remote sensing techniques. In recent years, the ground-based synthetic aperture Interferometric Radar (SAR) has made great progress in this field, which has fully demonstrated its great application potential, important practical significance and economic value. However, the short-wave band used by ground-based radar is easily affected by the atmosphere in the actual monitoring process. In view of this problem, this paper proposes a multi-model atmospheric correction algorithm based on the combination of domestic and foreign scholars and applies it to the actual landslide monitoring and analysis. The oblique projection makes the imaging very different from the conventional image, especially in the mountainous area with complex terrain, which makes the image interpretation very difficult. In view of this, this study improves the projection correction on the basis of visual field analysis. The specific work of this paper is as follows: (1) In order to better study the atmospheric correction, the reference country. Based on the research and development of corner reflector by different scholars at home and abroad, a three-dimensional mobile platform has been developed independently. The platform has the advantages of high precision, easy operation, stability and small volume. The algorithm chooses effective stabilization points from signal-to-noise ratio and phase stability, compares and analyzes them with different models according to the number of stabilization points in time domain, and chooses appropriate models to reduce the error caused by manual intervention. (3) Projection correction based on visual field analysis. In order to effectively eliminate the errors in projection correction, this paper analyzes the obtained data in the visual field before projection correction, removes the invisible area in the radar view angle, and improves the search efficiency and reliability. Interoperability. (4) Landslide monitoring and analysis of the Ya'an Qiaoqi Reservoir based on ground-based radar. Landslides around the reservoir are serious, seriously threatening the safety of people and property. This paper uses ground-based radar to monitor and study the landslide. The multi-model correction algorithm proposed in this paper effectively eliminates the regional atmospheric impact. The data obtained and the actual investigation show that the landslide has the creep characteristics. The study shows that the deformation of the two areas in the monitoring area is relatively large, which deserves special attention. The atmospheric correction error caused by element has good applicability in the practical application of landslide. The simulation results show that the projection correction algorithm based on visual analysis can effectively improve the reliability of projection correction, and it has practical feasibility.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P642.22

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 刁建鵬;梁光勝;;地面雷達(dá)的位移監(jiān)測(cè)試驗(yàn)研究[J];測(cè)繪科學(xué);2011年02期

2 張瑜;郝文輝;;大氣介質(zhì)對(duì)電磁波測(cè)距精度的影響[J];電波科學(xué)學(xué)報(bào);2006年04期

3 曲世勃;王彥平;譚維賢;洪文;;地基SAR形變監(jiān)測(cè)誤差分析與實(shí)驗(yàn)[J];電子與信息學(xué)報(bào);2011年01期

4 王鵬;周校;;地基SAR干涉測(cè)量原理及其形變監(jiān)測(cè)應(yīng)用研究[J];測(cè)繪信息與工程;2012年04期

5 周校;王鵬;邢誠;;基于GB-SAR的建筑物微變形測(cè)量研究[J];測(cè)繪地理信息;2012年05期

6 邢誠;徐亞明;周校;王鵬;;IBIS-S系統(tǒng)檢測(cè)方法研究[J];測(cè)繪地理信息;2013年04期

7 華遠(yuǎn)峰;李連友;胡伍生;金旭輝;孫騰科;;地面雷達(dá)靜態(tài)微變形測(cè)量環(huán)境影響改正方法研究[J];東南大學(xué)學(xué)報(bào)(自然科學(xué)版);2013年S2期

8 邢誠;韓賢權(quán);周校;王鵬;;地基合成孔徑雷達(dá)大壩監(jiān)測(cè)應(yīng)用研究[J];長江科學(xué)院院報(bào);2014年07期

9 劉國祥;合成孔徑雷達(dá)遙感新技術(shù)——InSAR介紹[J];四川測(cè)繪;2004年02期

10 劉國祥;SAR成像原理與圖像特征[J];四川測(cè)繪;2004年03期

相關(guān)博士學(xué)位論文 前1條

1 惠文華;滑坡遙感智能解譯理論與方法研究[D];長安大學(xué);2011年

相關(guān)碩士學(xué)位論文 前2條

1 張祥;地基SFCW SAR差分干涉測(cè)量技術(shù)研究[D];國防科學(xué)技術(shù)大學(xué);2011年

2 于泓;IBIS-M系統(tǒng)在露天礦邊坡監(jiān)測(cè)的應(yīng)用[D];中國地質(zhì)大學(xué)(北京);2012年

，

本文編號(hào)：2180602