改进基于自动航迹分类的渔业监测系统中对渔获报告数据和船舶卫星位置进行复杂分析以验证信息的方法

V. N. Pyrkov, A. Degay, V. N. Chernykh, M. Andreev, V. Tolpin, Z.B. Belokon'
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Improvement of methods for complex analysis of catch reporting data and satellite positions of vessels to verify information in the fisheries monitoring system based on automatic track classification
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来源期刊
Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.80
自引率
0.00%
发文量
72
期刊介绍: The journal Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa (Sovr. Probl. DZZ Kosm.), translated as "Current problems in remote sensing of the Earth from space", publishes original research and state-of-the-art review papers devoted to the development of methods and systems of remote sensing of the Earth and use of satellite monitoring techniques in fundamental studies and applications. The scope of the journal also includes theoretical and experimental results obtained in studies of ground ecosystems, vegetation and soils, processes in ocean and atmosphere and their interactions, geological and geophysical studies based on satellite remote sensing data. The Editorial Board members and authors are renowned scientists from Russia and other countries. The journal will be of interest to specialists in remote sensing of the Earth, monitoring systems development, investigation and modeling of natural and anthropogenic objects and phenomena.
期刊最新文献
Estimation of inertial frequency shifts in the central Japan Sea from surface drifter data Comparison of two-position lidar systems in the problem of backscatter signal interpretation Improvement of methods for complex analysis of catch reporting data and satellite positions of vessels to verify information in the fisheries monitoring system based on automatic track classification On the accuracy of the vertical and eastern components of the Earth’s surface displacements calculated from SAR images obtained from two orbits Spatio-temporal analysis of forest cover in the Middle Volga using landscape indices and Landsat satellite data
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