研究生: |
林俊宏 |
---|---|
論文名稱: |
透地雷達數據之2D小波圖形化重構濾波 2D wavelet filtering of GPR data using the pattern reconstruction method |
指導教授: | 鄭懌 |
學位類別: |
碩士 Master |
系所名稱: |
地球科學系 Department of Earth Sciences |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 121 |
中文關鍵詞: | 透地雷達 、小波 、濾波 、重構 、圖形化 、2D小波分析 |
英文關鍵詞: | wavelet, GPR, reconstruction |
論文種類: | 學術論文 |
相關次數: | 點閱:177 下載:9 |
分享至: |
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摘要
使用一般的傅式轉換濾波,濾波較無法表現出信號在時間域上的瞬時變化,而且這些傳統濾波,需經較複雜的手續而易產生資料處理上的失誤,及信號的損失。
而一般在用小波分析時,大多取近似訊號,而捨棄的細節訊號,也隱藏著許多所需要的部份,利用小波重構可以將原本捨棄的細節信號,自行選取要或不要的部份,增加信號的完整性。
在這次實驗中,除了透過電腦模擬的地層驗證外,還有台中公園,及瑞穗槽溝等的野外案例,證明2D小波重構,用在濾波的可行性。
本次研究所用的濾波方式,與傳統的濾波,最大的分別是,2D小波重構,可以藉由圖型展現,地質構造視覺化的選取判斷信號及雜訊,在濾除雜訊時,保留更多的信號部份,提高信噪比(S/N ratio)。
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