Remote sensing technology is essential for modern spatial analysis. It has been used for research and applications in a wide range of disciplines such as engineering, geology, geography, urban, forestry, agriculture, and archaeology . The course should benefit students who are interested in any of these fields. Lab A series of laboratory exercises will help students understand lectures and provide hands-on experience for digital image processing. Prerequisite The course is open to graduate students or senior under-graduate students.
Basic algebra is required to help understand the principles of remote sensing.
Basic statistics is are preferred. Remote Sensing and Image Interpretation. Additional Readings Jensen, J.R., 1996. Introductory Digital Image Processing, A Remote Sensing Perspective. Prentice Hall, New Jersey.