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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Analysis of Applicability of Neural Networks for Classification of Satellite Data

Том 39, Выпуск 3, 2007, pp. 37-50
DOI: 10.1615/JAutomatInfScien.v39.i3.40
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Краткое описание

We analyze possibilities of application of different neural networks and methods of their learning for classification of data of remote sensing of the Earth, namely of a multilayer perceptron, learned by different methods of the first and the second order; neural network on the basis of radial basis functions; neural network of ARTMAP type, based on the theory of adaptive resonance.

ЦИТИРОВАНО В
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  2. Kussul Nataliia, Skakun Sergii, Shelestov Andrii, Kussul Olga, The use of satellite SAR imagery to crop classification in Ukraine within JECAM project, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. Crossref

  3. Kussul Olga, Kussul Nataliia, Skakun Sergii, Kravchenko Oleksii, Shelestov Andrii, Kolotii Andrii, Assessment of relative efficiency of using MODIS data to winter wheat yield forecasting in Ukraine, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013. Crossref

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  6. Kravchenko Oleksii, Lavrenyuk Mykola, Kussul Nataliia, Orthorectification of Sich-2 satellite images using elastic models, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. Crossref

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