| 研究生: |
林紀綱 Lin, Ji-Gang |
|---|---|
| 論文名稱: |
NASA/JPL空載INSAR測定台灣地區的DEM成果分析 Analysis on the Results of the DEM in Taiwan Determined by NASA/JPL Airborne SAR Interferometry |
| 指導教授: |
蔡展榮
Tsay, Jaan-Rong |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 測量工程學系 Department of Surveying Engineering |
| 論文出版年: | 2003 |
| 畢業學年度: | 91 |
| 語文別: | 中文 |
| 論文頁數: | 136 |
| 中文關鍵詞: | 空載合成孔徑雷達干涉法 、數值高程模型 、均方根值 |
| 外文關鍵詞: | Digital Elevation Model, Root Mean Square, Airborne INSAR |
| 相關次數: | 點閱:107 下載:3 |
| 分享至: |
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台灣地區多為高山地形,且多植被覆蓋區,造成航測或遙測求取精確地表資訊較困難,而空載合成孔徑雷達干涉測量法(Airborne INSAR)具有減少這些缺失的潛力,且它具有全天候偵測及不受氣候影響兩大優點。InSAR法使用兩張涵蓋相同地區的SAR影像,利用同一目標物的雷達回波數位訊號進行干涉處理,之後可得到相位差及其與高程之間的關係,進而能夠在短時間內產生大區域之數值高程模型。
本文以2000年美國NASA/JPL的「環太平洋全偏極合成孔徑雷達計畫」中的TOPSAR在台灣地區所產生之DEM做為實驗資料,實驗區在臺灣中部地區,將TOPSAR_DEM與航測參考DEM進行套合,分析在不同地區以及不同波段之下,兩者高程之系統偏差與隨機誤差的估計,以及估算粗差點與無法計算高程點兩者的比例及發生位置和地表參數之相關性。
研究成果顯示,TOPSAR_DEM的高程走勢大致與參考DEM者吻合,但兩者之間仍存在著顯著的系統偏差及粗差;系統偏差呈現非線性的分佈,隨機偏差的RMS值在平地區域較小,約1~5公尺,高山區域較大,約10~15公尺。實驗區總面積約2016平方公里,參考點總數約120萬點,粗差發生之比例約為1.26%,無法計算出高程的比例約為6.37%(整體平均)或18.22%(高山區)。
On account of many high mountain areas and vegetable cover areas in Taiwan, it is difficult to extract the information of the ground surface for photogrammetry and remote sensing. However, airborne INSAR is to be provided with potential to decrease the defect and it can be operated in the day and night even under bad weather condition. INSAR use two radar images covered the same areas, and make interferometric processing by means of the radar return digital signal of the same target, then we can get the relation of phase difference and height, and then generate DEM of large scale in a short time.
In this paper, the DEMs derived by airborne INSAR technique in the mid Taiwan area using different radar bands in the PacRim 2000 Mission of NASA/JPL are used as test data and abbreviated by TOPSAR_DEMs. After horizontal and vertical datum transformation operations, we estimate and analyze the systematic bias, random error, and blunder as well. Also, the areas where TOPSAR cannot determine the height are analyzed. Test results indicate that both TOPSAR_DEM and reference DEM have very similar terrain surface trend. However, height differences between both still have significant systematic bias, and blunder. The systematic bias is a non-linear function of point position. The RMS value of the random components in the flat areas (about 1~5m) is smaller than in the hilly areas (about 10~15m). In c.a. 2016 km2 of test areas with about 1.2 million DEM points, there is about 1.26% of DEM points with blunder. The percentage of points on which TOPSAR cannot determine the heights is about 6.37% in average and 18.22% in mountainous area, respectively.
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