Publication detail

Visualization of Uncertainty in LANDSAT Classification Process

ŠŤASTNÝ, J. ŠKORPIL, V. FEJFAR, J.

Original Title

Visualization of Uncertainty in LANDSAT Classification Process

Type

conference paper

Language

English

Original Abstract

Many uncertainties can be found in the classification of remotely sensed data. Namely they can arise in defining classification classes. We use two ways, incorporating acquired Corine Land Cover labels and our manually annotated labels. We are describing several visualization possibilities to demonstrate uncertainties in labels and their connections with classification results. We use parallel coordinates to visualize data, presenting problems in classes definitions. These failures can be consequently seen in the results of classification in confusion matrix.

Keywords

LANDSAT, Corine Land Cover, parallel coordinates, k-NN, Python

Authors

ŠŤASTNÝ, J.; ŠKORPIL, V.; FEJFAR, J.

RIV year

2014

Released

9. 7. 2015

Publisher

Brno University of Technology

Location

Berlin

ISBN

978-1-4799-8497-8

Book

Proceedings of the 38th International conference on Telecommunications and Signal Processing

Edition number

1

Pages from

789

Pages to

792

Pages count

4

URL

https://ieeexplore.ieee.org/document/7296374

BibTex

@inproceedings{BUT110027,
  author="Jiří {Šťastný} and Vladislav {Škorpil} and Jiří {Fejfar}",
  title="Visualization of Uncertainty in LANDSAT Classification Process",
  booktitle="Proceedings of the 38th International conference on Telecommunications and Signal Processing",
  year="2015",
  number="1",
  pages="789--792",
  publisher="Brno University of Technology",
  address="Berlin",
  doi="10.1109/TSP.2015.7296374",
  isbn="978-1-4799-8497-8",
  url="https://ieeexplore.ieee.org/document/7296374"
}