Dynamic Estimation of Water Hyacinth Area by Fusing Data from Satellite and GPS Sensors

文献类型： 外文期刊

第一作者： Sun, Ling

作者： Sun, Ling;Zhu, Zesheng

作者机构：

关键词： Water hyacinth;Satellite and GPS sensors;Multi-sensor fusion;Area growth model

期刊名称：SENSORS, MECHATRONICS AND AUTOMATION

ISSN： 1660-9336

年卷期： 2014 年 511-512 卷

页码：

收录情况： SCI

摘要： The interaction of water hyacinth area with growth is known to be strongly influenced by area size, but little is known about the interdependent role that size and time have on dynamic estimation of water hyacinth area. We report on the fusion of specially designed, satellite and GPS sensor data into area growth model as a function of area and time. We employ a multi-sensor fusion technique that is able to generate uniform data of fitting area growth model with complete control of area and time. Evidence of an overall Goodness of Fit Index of 0.9753 was obtained by using conventional statistic analysis. These findings suggest that the multi-sensor fusion technique readily supports area growth model development with highly resolution. Moreover, it was found that area growth model enjoy an appreciable advantage when it comes to harvesting water hyacinth.

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