1. Course Objective
To strengthen the knowledge in surveying engineering, the course focuses itself on the theories of adjustment computation, map projection, Photogrammetry, and Remote Sensing, and, as a consequence, on the applications of these tools for the purposes of geo-spatial information collection and analysis.
2. Course content: (With three major topics)
Topic in Adjustment, Map projection, and Route Surveying
Part A Adjustment Computations
Part B Map Projections
Part C Route Surveying
Topic in Photogrammetry
Part A Introduction of Photogrammetry
Part B Mathematic Concepts in Photogrammetry
Part C Photogrammetric Instruments
Part D Digital Photogrammetry and Photogrammetric Automation
Topic in Remote Sensing and Image Processing
Part A The Concepts of Remote Sensing
Part B Characteristics of Remote Sensing Image Data
Part C Image Interpretation and Analysis
Part D Image Processing
Part E Image Classification
Part F Applications of Remote Sensing
Homeworks :50% ; Exams: 50%
(1). Anderson, J. M. and Mikhail, E.M. 2000, Surveying Theory and Practice, McGraw-Hill International Edition.
(1). Mikhail, E.M., Bethel, J.S., and McGlone, J.C., 2001, Introduction to Modern Photogrammetry, John Wiley & Sons, Inc. (Suggest for use in class)
(2). Kraus, Karl.1993, Photogrammetry Volume 1, Fundamental and Standard Processes, Ferd. D邦mmlers Verlag.
(3). Kraus, Karl.1997, Photogrammetry Volume 2, Advanced Methods and Applications, Ferd. D邦mmlers Verlag.
(4). Toni Schenk, 1999, `Digital Photogrammetry-Vol. 1`, TerraScience.
(5). Kasser, M. and Egels, Y., 2002, ＆Digital Photogrammetry＊,Taylor & Francis.
(1). Thomas M. Lillesand, Ralph W. Kiefer, Remote Sensing and Image Interpretation, 4th Edition, Wiley Text Books, 1999, 736 Pages.
(2). Robert A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, 2nd Edition, Academic Press, 1997, 522 Pages.
5. Prerequisite courses:
Elementary Surveying; Engineering mathematics; Engineering Statistics.
6. Prospective Students:
Sophomore and older.