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課程名稱 |
數值攝影測量
DIGITAL PHOTOGRAMMETRY |
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開課學期 |
97-1 |
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授課對象 |
工學院 大地工程組 |
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授課教師 |
趙鍵哲 |
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課號 |
CIE7091 |
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課程識別碼 |
521EM6410 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二2,3,4(9:10~12:10) |
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上課地點 |
綜204 |
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備註 |
本課程以英語授課。
總人數上限：20人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/971D_P |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
(1) Introduction
(2) Background
(3) Fundamental of Digital Photogrammetry
(4) Applications of Digital Photogrammetry |
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課程目標 |
To have a basic understanding of `digital photogrammetry` and its potential applications along with the integration trend with image processing and computer vision techniques.
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
每週二 13:20~14:10 |
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指定閱讀 |
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參考書目 |
(1). Schenk, T., 1999,`Digital Photogrammetry-Vol.1`, TerraScience. (Main
textbook)
(2). McGlone, J.C., 2004, ‘Manual of Photogrammetry-Fifth Edition’, American
Society for Photogrammetry and Remote Sensing.
(3). Kasser, M. and Y.Egels, 2002, ‘Digital Photogrammetry’,Taylor &
Francis.
(4) Mikail, E.M., J.S. Bethel, and J.C. McGlone, 2001, ‘Introduction to
Modern Photogrammetry’, John Wiley & Sons, Ins.
(5). Greve, C., 1996,`Digital Photogrammetry-An Addendem to the Manual
of Photogrammetry`. American Society for Photogrammetry and Remote
Sensing.
P.S. All references listed above can be found in NTU library |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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Week 1 |
9/16 |
Course description
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Week 2 |
9/23 |
1. Fundamental Theories of Photogrammetry;
2. Introduction to Digital Photogrammetry |
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Week 3 |
9/30 |
Introduction to Digital Photogrammetry |
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Week 4 |
10/07 |
Digital Signal Processing(1) |
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Week 5 |
10/14 |
Digital Signal Processing (2)-1
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Week 6 |
10/21 |
Digital Signal Processing (2)-2 |
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Week 7 |
10/28 |
Lab1 (Close-range DP) |
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Week 8 |
11/04 |
Digital Signal Processing (2)-3 |
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Week 9 |
11/11 |
Midterm (Open book) |
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Week 10 |
11/18 |
Midterm exam analysis
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Week 11 |
11/25 |
1. Group presentation of Lab1; 2. Lab2(Airborne or/and Spaceborne DP) |
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Week 12 |
12/02 |
Digital Image Processing |
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Week 13 |
12/09 |
Computer Vision (I) |
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Week 14 |
12/16 |
Computer Vision (II)
Automatic Orientation
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Week 15 |
12/23 |
1. Group presentation of Lab2; 2. Lab3 (Terrestrial LiDAR)
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Week 16 |
12/30 |
Feature-based Orientation;
Image Matching |
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Week 17 |
1/06 |
Students’ presentations on assigned readings |
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Week 18 |
1/13 |
Group presentation of Lab3
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