155RESE Remote Sensing: Porovnání verzí

Verze z 5. 1. 2023, 00:47

Basic Information

2 hours lectures per week
2 hours exercises per week
6 credits
finished with an exam
winter semester

Anotation

This lecture shows basics processing methods and use of remotely sensed data. Theoretical lectures provide basics in optics, mathematics, surveying and physics for full understanding of the theme. In practical lessons the theory turns to practice and students process their own data from Sentinel 2 satelite using an open source ESA SNAP software.

Literature

Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation, 7th Ed., Wiley, 2007. ISBN: 978-1-118-34328-9

Canty, M.J.: Image Analysis, Clasification and Change Detection in Remote Sensing. CRC Taylot& Francis. 2007. ISBN: 0-8493-7251-8

Lectures

Theoretical Lecturer: prof. Dr. Ing. Karel Pavelka

Practical Lecturers: Ing. Eva Matoušková, PhD. and Ing. Tomáš Bouček

Exercises

Introduction
Data download
Working with remote sensing data 1
Working with remote sensing data 2
Image filtering and processing
Vegetation indeces
Unsupervised classification
Supervised classification
Practical example - land cover
Classification accuracy
Introduction to hyperspectral data
Principal Component Analysis

@@ Řádek 10: / Řádek 10: @@
 ;Literature
-#xxx
+Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation, 7th Ed., Wiley, 2007. ISBN: 978-1-118-34328-9
+Canty, M.J.: Image Analysis, Clasification and Change Detection in Remote Sensing. CRC Taylot& Francis. 2007. ISBN: 0-8493-7251-8
 ==Lectures==