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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" }