中正大學課程大綱
課程名稱(中文)： 遙測影像分析概論 開課單位： 資訊工程研究所(Graduate Institute of Computer Science and Information Engineering)
課程名稱(英文) Introduction to remote sensing image analysis 課程代碼 4105106_01
授課教師： 劉偉名 學分數 3
必/選修 選修 開課年級 研究所，開放大三、大四
先修科目或先備能力：
Programming and basic knowledge of image processing are preferred
課程概述：
In the course we will discuss some widely-used remote sensing methods, including their rationale of imaging, the data formats, their applications, and how to perform pre-processing and post analysis. The topics to be covered are：
1. History
2. Aerial photography
3. Multispectral imaging
4. Hyperspectral imaging
5. Active and Passive microwave imaging
6. LIDAR
學習目標：
1. Have the fundamental knowledge about current remote sensing techniques
2. Understand the theories and applications of these imaging methods
3. Have the hands-on experience to analyze the image data and interpret the result
教科書：
Remote Sensing of the Environment - an Earth Resource Perspective 2nd ed, John R. Jensen ISBN : 9780131889507
Remote Sensing Digital Image Analysis , Richards, John A ISBN : 9783030823269

課程大綱 分配時數 核心能力 備註
單元主題 內容綱要 講授 示範 隨堂作業 其他
History
Introduction to the history of the development of remote sensing
 3 12345678
Aerial photography
1. Sensors for aerial photography
2. Interpretation of aerial photography
 4 12345678
Multispectral Imaging
1. Variety of multispectral sensors
2. Preprocessing
3. Post analysis for different applications
 9 1.5 12345678
Hyperspectral Imaging
Applications and algorithms for hyperspectral imaging analysis
 10 1.5 12345678
Active and Passive microwave imaging
1. Theory
2. Hardware
3. Algorithms
4. Applications
 5 12345678
LIDAR
1. Theory
2. Hardware
3. Algorithms
4. Applications
 6 12345678
Project
Paper presentations: algorithms related to optical imaging
 5 12345678
Instrumentation
Components of imaging sensors
 6 12345678
Software tools
Introduction of a variety of software tools for preprocessing and analysis of remote sensing images
 4 12345678

教育目標
1.具獨立從事學術研究或產品創新研發之人才
2.具團隊合作精神及科技整合能力，並在團隊中扮演領導、規劃、管理之角色
3.具自我挑戰與終身學習能力之人才
4.具有學術倫理、工程倫理、國際觀之人才

核心能力
1.具有資訊工程與科學領域之專業知識(Competence in computer science and computer engineering.)
2.具有創新思考、問題解決、獨立研究之能力(Be creative and be able to solve problems and to perform independent research.)
3.具有撰寫中英文專業論文及簡報之能力(Demonstrate good written, oral, and communication skills, in both Chinese and English.)
4.具策劃及執行專題研究之能力(Be able to plan and execute projects.)
5.具有溝通、協調、整合及進行跨領域團隊合作之能力(Have communication, coordination, integration skills and teamwork in multi-disciplinary settings.)
6.具有終身學習與因應資訊科技快速變遷之能力(Recognize the need for, and have the ability to engage in independent and life-long learning.)
7.認識並遵循學術與工程倫理(Understand and commit to academic and professional ethics.)
8.具國際觀及科技前瞻視野(Have international view and vision of future technology.)

請尊重智慧財產權，不得非法影印教師指定之教科書籍

教學要點概述：
1. 教材編選(可複選)：自編簡報(ppt)教科書作者提供
2. 教學方法(可複選)：講述板書講述
3. 評量工具(可複選)：上課點名 0.00%, 隨堂測驗10.00%, 隨堂作業10.00%, 程式實作15.00%, 實習報告0.00%,
                       專案報告25.00%, 期中考15.00%, 期末考15.00%, 期末報告0%, 其他0%,
4. 教學資源：課程網站 教材電子檔供下載 實習網站
5. 教學相關配合事項：

課程目標與教育核心能力相關性        
請勾選：12345678
1 具有資訊工程與科學領域之專業知識(Competence in computer science and computer engineering.)
為何有關：
We will learn knowledge about signal and image processing techniques in remote sensing field, and also exercise relevant programming skills.
達成指標：
Have basic knowledge of remote sensing
評量工具(可複選)：
等級5：學期成績可預期達到80分以上 等級4：學期成績可預期達到70分以上 等級3：學期成績可預期達到60分以上 等級2：學期成績可預期達到50分以上 等級1：學期成績可預期未滿50分
2 具有創新思考、問題解決、獨立研究之能力(Be creative and be able to solve problems and to perform independent research.)
為何有關：
The projects and homework will motivate us to have creative thinking in problem-solving and independent research.
達成指標：
Performance in paper presentations and homework
評量工具(可複選)：
等級5：學期成績可預期達到80分以上 等級4：學期成績可預期達到70分以上 等級3：學期成績可預期達到60分以上 等級2：學期成績可預期達到50分以上 等級1：學期成績可預期未滿50分
3 具有撰寫中英文專業論文及簡報之能力(Demonstrate good written, oral, and communication skills, in both Chinese and English.)
為何有關：
We will have at least 2 sessions to demonstrate capabilities in project presentation and report writing.
達成指標：
Complete the presentation and written report with a minimum number of errors
評量工具(可複選)：
等級5：學期成績可預期達到80分以上 等級4：學期成績可預期達到70分以上 等級3：學期成績可預期達到60分以上 等級2：學期成績可預期達到50分以上 等級1：學期成績可預期未滿50分
8 具國際觀及科技前瞻視野(Have international view and vision of future technology.)
為何有關：
In the project (paper presentation) we will read some well-known and highly impacted literature. Through the course, we will also know the latest remote sensing technologies.
達成指標：
Do well in homework, projects, mid-term, and final exams.
評量工具(可複選)：
等級5：學期成績可預期達到80分以上 等級4：學期成績可預期達到70分以上 等級3：學期成績可預期達到60分以上 等級2：學期成績可預期達到50分以上 等級1：學期成績可預期未滿50分