1、一、課程名稱(chēng)（中英文）：測(cè)量工程（Surveying Engineering）二、學(xué) 分 數(shù)：3三、課程編號(hào)：501 27210四、授課教師：趙鍵哲（與韓仁毓、徐百輝合開(kāi)）五、課程目標(biāo)：To strengthen the knowledge in surveying engineering, the course focuses itself on the theories of adjustment computation, coordinate systems and transformations, Photogrammetry, and Remote Sensing, and, as

2、a consequence, on the applications of these tools for the purposes of geo-spatial information collection and analysis.六、課程內(nèi)容概要：Topic in Adjustment, Map projection, and Route Surveying Part A Adjustment Computations I. Propagation of Random Errors II. Variance, Covariance, and Correlation III. Varian

3、ce-Covariance propagation IV. Mathematical Model for Adjustment V. Adjustment by Observation Equation VI. Adjustment by Condition Equation Part B Coordinate Systems & Transformations I. Types Coordinate Systems II. Coordinate Transformations III. Differential Geometry IV. Mercator Projections Pa

4、rt C Route Surveying I. Formulas of Circular Curve II. Layout of Circular Curve by Deflection Angles III. Compound Curves IV. Formulas of Compound Curves V. Superelevation VI. Spirals Topic in Photogrammetry Part A Introduction of Photogrammetry I. Principle of Photogrammetry II. Perspective Project

5、ion III. Parallax and Stereo IV. Epipolar Geometry V. 3-D Coordinate Determination Part B Mathematic Concepts in Photogrammetry I. Coordinate Reference Frames II. Sensor Model III. Platform Model IV. Collinearity equations V. Coplanarity equation VI. Orientation Solutions VII. Block Aerial Triangula

6、tion VIII. Accuracy Assessment Part C Photogrammetric Instruments I. Hardcopy-based Instruments II. Softcopy-based Systems Part D Digital Photogrammetry and Photogrammetric Automation I. Digital Photogrammetry and Computer Vision II. Automation in Digital Photogrammetry III. Applications of Digital

7、Photogrammetry (i). In Civil Engineering. (ii). In Forest Inventory (iii).In City Modeling (iv). In Medical Diagnose Topic in Remote Sensing and Image Processing Part A The Concepts of Remote Sensing I. History of Remote Sensing II. Sensors and Platforms Technologies III. Remote Sensing Systems IV.

8、Outlook for the future Part B Characteristics of Remote Sensing Image Data I. Radiation Model II. Spatial and Spectral Response III. Geometric Distortion IV. Noise Model Part C Image Interpretation and Analysis Part D Image Processing I. Image Enhancement II. Image Statistics III. Image Segmentation

9、 IV. Transformations of Image Data V. Feature Extraction and Reduction VI. Pattern Recognition Part E Image Classification I. Supervised Classification Techniques II. Unsupervised Classification Techniques Part F Applications of Remote Sensing七、成績(jī)計(jì)算方法：(tbd)八、教科書(shū)或主要參考書(shū)： Topic A (1)Anderson, J. M. and

10、 Mikhail, E.M. 2000, Surveying Theory and Practice, McGraw-Hill International Edition. (2)Leick A, 2004, GPS Satellite Surveying, John Wiley & Sons, Inc. Topic B (1)Mikhail, E.M., Bethel, J.S., and McGlone, J.C., 2001, Introduction to Modern Photogrammetry, John Wiley & Sons, Inc. (Suggest f

11、or 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. Topic C (1)Thomas M. Lillesand, Ralph W. Kiefer, Remote Sensing and Image Interpretation, 4th Edition, Wiley Text Books, 1999, 736 P