Determination of Inundated Territories on the Basis of Integration of Heterogeneous Data

N.N. Kussul; E.A. Lupian; A.Yu. Shelestov; S.V. Skakun; Yu.G. Tishchenko; L. Hluchy

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Determination of Inundated Territories on the Basis of Integration of Heterogeneous Data

机译：基于异构数据整合确定淹没领土

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We propose a new approach for determination of inundated territories on the basis of radiolocation and optical satellite data. For segmentation and classification of satellite images we use neural networks, namely, self-organizing Kohonen maps. The suggested approach was verified using data of ERS-2 satellite at the time of flood on Tisza river in March 2001. The obtained in this way information can supplement data, which are used on solving monitoring problems for agriculture.

机译：我们提出了一种基于无线电定位和光学卫星数据确定淹没领土的新方法。对于卫星图像的分割和分类，我们使用神经网络，即自组织Kohonen映射。该方法在2001年3月蒂萨河洪水时使用ERS-2卫星的数据进行了验证。这样获得的信息可以补充数据，用于解决农业监测问题。

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《Journal of automation and information sciences》 |2007年第12期|p.42-51|共10页
作者
N.N. Kussul; E.A. Lupian; A.Yu. Shelestov; S.V. Skakun; Yu.G. Tishchenko; L. Hluchy;
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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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Determination of Inundated Territories on the Basis of Integration of Heterogeneous Data

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