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題名:應用衛星影像測繪南海島礁
書刊名:航測及遙測學刊
作者:劉建良陳良健王成機徐偉城
作者(外文):Liu, Chien-liangChen, Liang-chienWang, Cheng-giHsu, Wei-chen
出版日期:2016
卷期:20:1
頁次:頁43-60
主題關鍵詞:南海衛星影像島礁基本圖變遷監測數值地形模型South China SeaSatellite imagesIslandsBase mapChange monitoringDigital terrain model
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:3
為掌握完整且正確之島礁資訊,本研究針對南海周邊海域島礁測繪其基礎圖資,並就重要島礁持續監測其自然環境及人為開發情形。考量高解析遙測衛星影像0.5公尺級之解析能力,且在無地表控制點可供校正情況下,絕對定位精度優於5公尺,合於島礁地圖測繪使用。加以其具彈性與機動之優勢,可不受干擾自由拍攝全球各地現況影像,可替代登島實際勘測或使用航空攝影測量技術等方式,對於距臺灣遙遠之島礁地圖測繪需求,高解析遙測衛星影像成為本文選定之方案。 本文針對島礁之測繪成果包括(1)衛星影像校正、(2)向量化、(3)基本圖製作、(4)立體地形建構及(5)變遷監測。影像校正採用有理函數模型產生衛星正射影像,向量化係於正射影像描繪重要地物邊界,基本圖製作針對類比輸出規定之格式產生,立體地形建構則組合影像匹配及人工編修產生數值地形模型,變遷監測則依多時序衛星影像比對島礁之自然與人為變化。本文成果對於南海島礁現況可提供豐富之空間資訊。
To collect complete and correct island information, this study mapped South China Sea islands and monitored the natural environment and human developments of important islands. Due to their half-meter resolution capability and 5m accuracy without ground control, high resolution satellite images are suitable for sparse island mapping. The suitability and flexibility of satellite bring certain advantages. Satellites can freely observe the world and surpass ground surveying or aerial photogrammetry for sparse islands in South China Sea. It could be the best option in this study to map islands that are far away from Taiwan. This paper reports a mapping project for islands in South China Sea. Major works include: (1) rectification of satellite images, (2) vectorization, (3) base map generation, (4)3D surface construction, and (5) change monitoring. First of all, rational function model is selected in the generation of orthoimages. Then the vector maps are digitized in the orthoimages. Base maps are generated for analogue output according to the standard format. The next step is to generate digital elevation models by means of image matching and manual editing. Finally, change monitoring is done by the comparisons of historical images. The results provide valuable geoinformation for South China Sea.
期刊論文
1.Chen, L. C.、Teo, T. A.、Liu, C. L.(2006)。The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images。Photogrammetric Engineering & Remote Sensing,72(5),573-579。  new window
2.Hardy, D. M.、Walton, J. J.(1978)。Principal Components Analysis of Vector Wind Measurements。Journal of Applied Meteorology,17(8),1153-1162。  new window
3.Niederost, M.(2001)。Automated update of Building Information in Maps Using Medium-scale Imagery (1:15, 000)。Automatic Extraction of Man-Made Objects from Anal and Space Images,3,161-170。  new window
4.Previtali, M.、Barazzetti, L.、Scaioni, M.(2011)。Multi-Step And Multi-Photo Matching For Accurate 3D Reconstruction。International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,XXXVIII-3/W22,103-108。  new window
5.Toutin, T.(2004)。Review article: Geometric processing of remote sensing images: models, algorithms and methods。International Journal of Remote Sensing,25(10),1893-1924。  new window
會議論文
1.Rouse, J. W.、Haas, R. H.、Schell, J. A.、Deering, D. W.(1973)。Monitoring vegetation systems in the great plains with ERTS。Third ERTS Symposium。  new window
2.Smiley, B.(2009)。The absolute and relative geolocation accuracies of QB02 and WV01。American Society for Photogrammetry and Remote Sensing 2009 Annual Conference。Baltimore, Maryland。  new window
研究報告
1.吳啟南、李元炎(1993)。南沙群島太平島海域遙測衛星影像分析。工研院能資所。  延伸查詢new window
2.國立中央大學(2013)。超高解析度衛星影像定位誤差分析研究計畫期末報告書。  延伸查詢new window
圖書
1.Schowengerdt, R. A.(2007)。Remote Sensing: Models and Methods for Image Processing。Burlington, MA:Academic Press。  new window
其他
1.內政部(2009)。基本地形圖資料庫分類編碼表及專有名詞定義。  延伸查詢new window
2.內政部(2012)。101年度東海與南海島礁資料蒐集及建置工作期末報告。  延伸查詢new window
 
 
 
 
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