Science and Technology of Suverying and Mapping ( M.S. )

1. Training/Research Orientation

• Photogrammetry and Remote Sensing
• Cartography and Geographical Information Engineering
• Geodesy and Surveying Engineering

2. Program Duration and Credit

Three years generally, the maximum school years are not longer than 5 years ( including the extension time).
30 credits of courses in total, at least 20 credits of academic courses.

3. Core Courses and Introduction

Introduction to Frontiers of Science and Technology of Surveying and Mapping
The course is about the progress of the related technology of surveying and mapping, taught in the form of lectures. Main content includes six topics as follows:

• GPS survey and navigation, as the benchmark of modern surveying and mapping, global navigation satellite system (GPS, compass, etc.), research hot topic, the satellite altimetry technique, indoor and outdoor integrated navigation mode
• Aviation and space mapping technology, emphasis on high satellite remote sensing image mapping and data processing, oblique aerial photogrammetry, unmanned aerial vehicle mapping technology, the airborne laser radar technology, digital photogrammetry grid technology
• Mapping and geographic information engineering, heavy difficult including mapping digitalization, informatization and integration, geographical spatial database data assimilation and space, mobile mapping system technology and data processing, measurable images of real hotspot technology such as geographic information resources sharing and collaborative
• Precision engineering and industrial measurement, is introduced, urban GPS continuous operation reference station, the three-dimensional mapping technology, new technologies, construction of the precision industry measurement system, etc.
• Marine and waterway surveying and mapping technologies, including satellite positioning measurement, water depth measurement techniques (remote sensing, multi-beam, etc.), remote sensing remote sensing technology, the depth of the water base theory, Marine and wisdom channel
• Spatial data processing theory and method, the content covers the uncertainty theory, machine learning, bionic intelligent algorithm, cloud computing and grid computing, parallel processing technology, etc.

Modern Space Data Processing Theory and Method
It is based on the data error of spatial data processing techniques and methods, and the basic theory is probability theory, fuzzy mathematics, bionic calculation, etc. Course mainly includes three parts: the first part is the basic theory, including the evidence theory, random process, the fuzzy theory, the rough set theory and information theory; The second part is the spatial data uncertainty theory, the basic content including parameter estimation, the uncertainty of spatial data modeling, spatial relationship between uncertainty and spatial analysis uncertainty, etc.; The third part is the spatial data analysis and modeling, including pattern recognition, the bionic intelligence theory, deep learning, etc. Students are required to master the basic principle and method of modern spatial data processing and understand the modern spatial data processing methods and progress.

Introduction to Space Photogrammetry
This module mainly focuses on the fundamental principles and methodologies of digital photogrammetry using different stereo images from satellite-born or airborne sensors, which produce the of 4D products, namely, DEM,DOM, DLG and DRG. 
The following topics are included in this module: the equations of image formation for various kind of sensors, the inner and outer orientation methods for multi-source images, the generation approaches of Epipolar images, the Rational Function Models for satellite images, the punctuate, linear and areal feature extraction and their location computation from images, the basic theories and algorithms of image matching, the least squares image matching approach, image feature matching and overall image matching, DEM construction with photogrammetry methods, the principle of differential rectification and  orthographic image producing. The curriculum also discusses 3D reconstruction approaches for 3D objects with digital close-range Photogrammetry.

Modern Geographic Information Technology
By learning of the basic theory and methods of modern geographic information technology, the course guides students to understand and master the applications and the principles of modern geography information technology, cultivates post graduates' ability of scientific thinking, scientific research innovation and solving practical problems, so as to lay the foundation for graduate students to carry out research work in the field of geographic information and work on geographic information technology in the future. The course is teaching based on classroom teaching, supplemented by classroom discussion. The course content includes the following aspects:

• fundamental concepts and principles of Modern geographic information technology
• principles, methods and techniques of mathematical modeling on geographic information
• the composition of modern geographic information technology, such as information extraction technology, numerical approximation technique, multi-scale analysis technology, network analysis technology, copyright protection technology on geographic information and so on
• application of modern geographic information technology

Modern Geodesy
The main content of Modern Geodesy includes the new development and application of Geodesy. It discusses the main theoretical methods and techniques about establishment of surveying datum and coordinate system as well as the main projection and control survey. It aims to improve students’ basic theory, skills of Modern Geodesy and innovation ability. The main contents include:

• The technology and methods of establishing relatively independent urban coordinate system based on the urban central meridian and elevation of projection plane
• The techniques and methods of establishing and maintaining urban geodetic control network (including GNSS control network and the first level vertical control network), which includes the site of control points, accuracy indication, observation and data processing. It also involves the establishment and application of the spatial transformation models of the urban coordinate systems and the models of refining geoid
• Case studies as well as communication and discussion about the paper reading reports will be included. Besides, the latest achievement and advanced questions of discipline development are involved

Spatial Positioning and Navigation Technology
According to the study of the course, graduate students are normally expected to master the basic principles, methods and working flows of GNSS positioning and navigation, know the basic principles and technical methods of other spatial positioning technologies such as indoor wireless positioning, and carry on collecting and processing 3D spatial data based on GNSS equipments. The course is completed by the form of theory teaching. The contents include:

• the basic knowledge of satellite positioning
• the basic principles and methods of satellite positioning
• the principles and methods of satellite earth observation data processing
• the basic principles and methods of ground network positioning
• the principles and methods of satellite navigation

The examining form of the course is to write a summarized article about spatial positioning technologies.

4. Supervisors

Yehua Sheng, Wei Zhou, Xuejun Liu, Changqing Zhu, Min Wang, Jie Sheng, Yongjun Wang, Lin Yang, Ka Zhang.