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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/63690

    Title: 運用SIFT特徵進行光學影像目標識別;Using Scale Invariant Feature Transform for Target Identification in High Resolution Optical Image
    Authors: 謝皖青;Hsieh,Wan-Ching
    Contributors: 通訊工程研究所碩士在職專班
    Keywords: 全色態;多光譜;尺度不變特徵轉換;高斯差異;DoG;MS;Pan;SIFT
    Date: 2009-12-14
    Issue Date: 2014-05-08 15:25:16 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 隨著衛星影像解析度的提昇,使我們在衛星影像上可看到的資訊及物體愈來愈多也更加豐富,運用也更廣;世界各國及學術研究機構均積極研發,各國廠商也參與研究搶食這塊大餅,創造許多影像處理技術,但衛星影像拍攝後需要經過一些修正及加值處理,這樣影像產品才能運用的更廣。
    ;With finer resolution of satellite imagery, people can extract abundant information and develop more applications from it. Nowadays, research institutes and commercial imagery companies all over the world work intensively to develop many image processing techniques. However, satellite imagery still requires correction and value-added processing for further utilization and applications.
    Because of the difference for imagery collection time, angle and sensors, images at the same location still have different scale, rotation and translation. In such case, feature extraction is the key technique for target identification in different images. In the thesis, we try to use Scale Invariant Feature Transform(SIFT)to extract features and match them in images with different collection conditions. The result shows that SIFT is capable of extracting stable features, and many of them are matched even the images have different scale and distortion.
    Appears in Collections:[通訊工程學系碩士在職專班 ] 博碩士論文

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