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  • 學位論文

藉由透地雷達判斷非水相液體可行性之研究-利用圖像處理方法

Detecting Non-Aqueous Phase Liquids Phenomena with Applyivg the image Processing Techniques on the Ground Penetration Rader Data

指導教授 : 黃怡碩
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摘要


透地雷達(Ground-Penetrating Radar,GPR)是運用在地下污染檢測方面,具有發展潛力與實用性的非破壞檢測技術;但是在判讀遭受到輕非水相液體(Light Non-Aqueous Phase Liquid,LNAPL)汙染的透地雷達影像時,無法明確掌握特徵與擴散範圍時,本論文使用砂箱模擬方式,在定點倒入汽油讓汽油持續滲漏,同時使用透地雷達搭配900MHz天線進行不間斷的透地雷達影像掃瞄,來觀察輕非水相液體變化狀況。本論文提出與以往不一樣的方法來判斷透地雷達影像,將往常直接對前後期影像找出問題所在;修改成將兩張前後期透地雷達影像做相減後,再判斷相減後的影像差異,確定問題所在。但是影像相減前,會有相對位置不一致的問題,因此需要做以下處理:如尺度比例、位移與正規化等等。這時所得到的相減影像,才能夠更加明確指出該前後期差異性的位置,讓影像差異顯現出來,方便做直接的判斷。此方法亦能套用到其他種類的透地雷達檢測,提供出不同時期的透地雷達影像影像,做處理之後找出變化的位置,方便進行判斷是該地區有否改變。

並列摘要


Ground-Penetrating Radar (GPR) is a developmentally potential and practical non-destructive inspection technology which normally applies to inspect underground pollution. However, GPR has been proven vaguely to identify distinctive features and the range of scatter when interpreting the its images polluted by Light Non-Aqueous Phase Liquid, this thesis, contrarily, adopt Sandbox Simulation method, which simultaneously uses GPR equipped with 900MHz antenna to process in ceaseless GPR image scan in the gas leaking experiment while disposing gas at a fixed point, to observe the change status of Light Non-Aqueous Phase Liquid. This thesis has demonstrated different method to interpret GPR images. Therefore, it slightly modifies the process from directly finding problems from pre and post images to verify variance by differencing GPR images. Nevertheless, before differencing images, inconsistent relative position problem will generate. Thus, it demands to accomplish some adjustments, such as Ratio of Scale, Displacement, and Normalization, etc, to more significantly identify the variance of differencing images in order to result in direct judgment. This method is capable to fit in other GPR inspections to not only provide GPR images within different period, but also to conveniently validate whether the area has been in change in terms of positions change been processed.

參考文獻


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