Learning Module 7.
Image Processing
Introduction
In this module, we will begin by learning about pre-processing and other basic image processing techniques. Before data analysis or image interpretation, raw data usually needs to be corrected and adjusted for errors and inconsistencies. This can include a variety of processes and is an important step in producing the highest quality data.
Learning Outcomes
- Understand the basic concept of pre-processing and its importance
- Differentiate between types of geometric errors and distortions
- Understand the difference between radiance and reflectance and the calibration process
- Understand the causes of radiometric errors and the importance of correcting for these errors
- To be able to choose data and appropriate image processing techniques
Readings
- Read: Pages 185-188 in Principles of remote sensing: An introductory textbook
Presentations and Content
- Pre-Processing Overview
- Geometric Corrections
- Radiometric Corrections
- Pansharpening
- Subset/Clip and Mosaicking