Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis
1
College of Geomatics, Shandong University of Science and Technology, Qingdao 266000, China
2
Urban Planning and Design Institute of the West Coast New Area of Qingdao, Qingdao 266000, China
3
Chinese Academy of Surveying & Mapping, Beijing 100000, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(5), 307; https://doi.org/10.3390/ijgi9050307
Received: 8 March 2020 / Revised: 30 April 2020 / Accepted: 5 May 2020 / Published: 7 May 2020
(This article belongs to the Special Issue Geovisualization and Map Design)
When it comes to feature retention in multi-scale representations of ocean flow fields, not all data points are equal. Therefore, this paper proposes a method of selecting data points based on their importance. First, an autocorrelation analysis is performed on flow speed and the rate of change in flow direction. Then, the magnitude of speed and variation in the rate of change in flow direction are classified. Feature regions are determined according to autocorrelation aggregation and classification analysis. Then, rough set theory and evidence theory are applied, using these results to determine the weights of different points. Finally, these weights are used to construct multi-scale representations of ocean flow fields, which effectively retain flow-field characteristics.
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Keywords:
multi-scale representation; feature; autocorrelation analysis; rough set theory; evidence theory
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Ai, B.; Sun, D.; Liu, Y.; Li, C.; Yang, F.; Yin, Y.; Tian, H. Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis. ISPRS Int. J. Geo-Inf. 2020, 9, 307. https://doi.org/10.3390/ijgi9050307
AMA Style
Ai B, Sun D, Liu Y, Li C, Yang F, Yin Y, Tian H. Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis. ISPRS International Journal of Geo-Information. 2020; 9(5):307. https://doi.org/10.3390/ijgi9050307
Chicago/Turabian StyleAi, Bo; Sun, Decheng; Liu, Yanmei; Li, Chengming; Yang, Fanlin; Yin, Yong; Tian, Huibo. 2020. "Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis" ISPRS Int. J. Geo-Inf. 9, no. 5: 307. https://doi.org/10.3390/ijgi9050307
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