Signal and Transform

Course objective

The objective of this course is to provide students with an understanding of key signal processing techniques and their applications in geospatial data analysis. Students will learn to apply techniques like Fourier and wavelet transforms, along with digital filtering, to enhance and process spatial data, and gain advanced signal processing skills for practical geomatics applications.

Syllabus at a glance

1. 1Fundamentals of Signal Processing in Geomatics
2. 2Fourier Transform for Geospatial Analysis
3. 3Digital Filtering Techniques for Spatial Data
4. 4Wavelet Transform and Multiresolution Analysis
5. 5Time-Frequency Analysis for Geospatial Data
6. 6Advanced Signal Processing Techniques