155RESE Remote Sensing: Porovnání verzí

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==Exercises==
==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

Verze z 7. 10. 2022, 11:34

Basic Information

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

Anotation

Literature
  1. xxx

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