@inproceedings{e2dd0945c3824a23b76312fe1a507216,
title = "Approaches to classification of multichannel images",
abstract = "The comparison of different approaches to classification of multichannel remote sensing images obtained by spaceborne imaging systems is presented. It is demonstrated that it is reasonable to compress original noisy images with appropriate compression ratio and then to classify the decompressed images rather than original data. Two classifiers are considered: based on radial basis function neural network and support vector machine. The latter one produces slightly better classification results.",
keywords = "Image compression, Multichannel image classification, Remote sensing",
author = "Vladimir Lukin and Nikolay Ponomarenko and Andrey Kurekin and Kenneth Lever and Oleksiy Pogrebnyak and Fernandez, {Luis Pastor Sanchez}",
year = "2006",
doi = "10.1007/11892755_82",
language = "Ingl{\'e}s",
isbn = "3540465561",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "794--803",
booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings",
address = "Alemania",
note = "11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 ; Conference date: 14-11-2006 Through 17-11-2006",
}