E3S Web Conf.
Volume 223, 2020Regional Problems of Earth Remote Sensing (RPERS 2020)
|Number of page(s)||5|
|Section||Models and Methods of Remote Sensing Data Processing|
|Published online||21 December 2020|
Experimental evaluation of nonparametric clustering algorithms for image segmentation
1 Federal Research Center for Information and Computational Technologies, 630090, Novosibirsk, Russia
* Corresponding author: email@example.com
Experimental evaluation of 12 nonparametric clustering algorithms for image segmentation was made. Algorithms developed in FRC ICT are compared to ones from ENVI, ELKI and Smile software packages. Seven model datasets were generated to estimate clustering accuracy. The computational efficiency was evaluated using digital photographs and fragments of multispectral images obtained from WorldView-2 satellite.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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