- Home
- Conferences
- Conference Proceedings
- Conferences
13th EAGE International Conference on Geoinformatics - Theoretical and Applied Aspects
- Conference date: 12 May 2014 - 15 May 2014
- Location: Kyiv, Ukraine
- ISBN: 978-90-73834-91-0
- Published: 12 May 2014
41 - 43 of 43 results
-
-
Natural and technogenic components of the magnetic field for Kyiv territory
Authors M. Orlyuk, A. Romenets and I. OrliukCalculated and experimental magnetic field of natural and technogenic origin for Kyiv territory is represented in this publication. Natural geomagnetic field varies within 50100-50860 nT, increasing from southwest to northeast. Local spatial geomagnetic field inhomogeneity is mainly determined by its lithosphere component that varies within the city from -200 to 500 nT. Man-made component of the magnetic field in frequency range from 10-6Hz to 1 Hz is experimentally studied here for the first time. It is shown that technologic variation sources that have intensity of tens and hundreds nanoteslas have mostly electric and ferromagnetic nature. People and manufacture timetable causes circadian rhythm of technologic variations.
-
-
-
Использование ТТГ для изучения внутренней структуры геосреды и поиска ловушек углеводородов
Authors O. Vinnichenko, N. Vinnichenko, I. Glushchenko and V. StepchenkoТехнология относится к разряду методов Дистанционного Зондирования Земли (ДЗЗ) на базе использования данных, получаемых космическими аппаратами и специальными авиасредствами, оснащенными тепло- и радиовизорами. Основными исходными данными является информация, полученная в инфракрасном диапазоне электромагнитных волн.
-
-
-
Обзор различных методов отбора наиболее информативных спектральных диапазонов
By S.I. AlpertMultispectral data provide capability for discrimination between many land cover types. But the great number of spectral bands is problematic for statistical classification techniques. In this article we considered some methods for selection of the most effective and most informative spectral bands. In this work we considered Band Selection method for Hyperspectral Data Analysis and Automatic Clusterization. It was also proposed a new approach to select spectral bands, which is based on the concept of criterion function of information capability of spectral bands. In this article we also considered and analysed some examples with use of criterion function of information capability.
-