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首页> 外文期刊>International journal of image and data fusion >Optimum indices for vegetation cover change detection in the Zayandeh-rud river basin: a fusion approach
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Optimum indices for vegetation cover change detection in the Zayandeh-rud river basin: a fusion approach

机译：Zayandeh-rud流域植被覆盖变化检测的最佳指标：融合方法

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In this study, vegetation changes in the Zayandeh-rud river basin in the period 2001 to 2016 have been investigated based on the combining of the 15 different vegetation indices. Two main plans were applied and tested to produce the final vegetation change map. In the first plan, change maps were produced by differencing the original vegetation indices individually. The second plan, which was a fusion perspective, included two algorithms. In the first one, change maps, obtained from vegetation indices, were fused at the decision level using the Majority Voting Method. The second algorithm included a particle swarm optimisation (PSO) based weighted combination of the different vegetation maps. The results show that the high correlation between vegetation indices does not necessarily provide the same results and combination of all them can be done automatically by applying PSO. Although PSO-based combination could not significantly improve the change detection, it solved the problem of finding optimal threshold value for the change detection process. However, from the vegetation change point of view, they all indicate that during the years of study, the vegetation cover has increased in the study area due to irregular water usage of the Zayandeh-rud river in its western part.
机译：在这项研究中，基于15种不同植被指数的组合，研究了Zayandeh-rud流域2001年至2016年的植被变化。应用并测试了两个主要计划，以生成最终的植被变化图。在第一个计划中，通过分别区分原始植被指数来制作变化图。第二个计划是融合的观点，其中包括两种算法。在第一个图中，使用多数投票方法在决策层融合了从植被指数获得的变化图。第二种算法包括基于粒子群优化（PSO）的不同植被图的加权组合。结果表明，植被指数之间的高度相关性不一定提供相同的结果，并且可以通过应用PSO自动完成所有这些指数的组合。尽管基于PSO的组合不能显着改善变化检测，但它解决了为变化检测过程找到最佳阈值的问题。但是，从植被变化的角度来看，它们都表明，在研究的年份中，由于Zayandeh-rud河西部的用水不规律，植被覆盖面积有所增加。

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