GMFM200 Remote Sensing I - Image processing

Lectures: Remote sensing image acquisition principles; geometric and radiometric properties of satellite imagery. Major geometric and radiometric distortions and correction methods. Control of geometric accuracy. Special image enhancement techniques (Filtering, Principal component analysis, Fourier transformation). Image mosaic production. Classification methods with emphasis on unsupervised classification. Use of satellite images for vegetation mapping and change detection.

Exercises: 1) Geometric rectification and accuracy evaluation. Exploratory analysis of airborne lidar data. 2) Unsupervised classification (clustering) of lidar intensity and other remotely sensed data. 3) Training data collection, supervised classification of satellite images and accuracy evaluation

Excursion: Field work in the Follo/Oslo region.

Knowledge: The students will have acquired substantial knowledge of the most central ideas connected with the characteristics of aerial and satellite images, digital image processing methods that are relevant in geomatics, and some application areas of satellite image processing.

Skills: The students will be able to carry out such types of image processing and analysis using a selected image processing tool (currently CATALYST). The students will be able to retrieve raw satellite images, evaluate the quality of the images, (pre)process them, collect ground data, extract some information through processes such as image classification and evaluate the accuracy.T

General Competence: The students will understand how to solve real world problems using remote sensing. The students will enhance their competences in report writing, field data collection, teamwork, and independence.