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Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review

机译:基于多光谱和高光谱图像的土地使用/陆地覆盖改变预测分析:广泛的审查

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摘要

Research in the field of remote sensing attracts attention among researchers all over the world. From different remote sensing applications, the problem on Land Use/ Land Cover change analysis has been considered as the critical research for more than four decades. The researchers had discovered the new innovative ways of finding the solution to analyze the Land Use/ Land Cover change over a particular region. The multispectral and hyperspectral satellite images play a considerable part in analyzing environmental changes. Many algorithms developed and used by researchers for analyzing the Land Use/ Land Cover change are discussed in this paper. This review article aims to provide detailed analyses of performing Land Use/ Land Cover changes in the field of remote sensing. The main motive is to make the future researchers know about the flow of the Land Use/ Land Cover change analysis process and provide a clear presentation about every method. The results of this Land Use/ Land Cover problem mainly assist the land resource management, urban planners, and other government officials across the world in protecting the land resource and its nature for future needs.
机译:遥感领域的研究吸引了世界各地的研究人员中的注意力。从不同的遥感应用中,土地使用/土地覆盖变更分析的问题被认为是超过四十年的关键研究。研究人员发现了寻找解决方案,以分析特定地区的土地使用/陆地覆盖变化的新创新方法。多光谱和高光谱卫星图像在分析环境变化方面发挥相当大的部分。本文讨论了研究人员开发和使用的许多算法,用于分析土地使用/陆地覆盖变化。本综述文章旨在提供遥感领域的持续土地使用/土地覆盖变化的详细分析。主要动机是使未来的研究人员了解土地使用/陆地覆盖变更分析过程的流程,并提供了关于每种方法的清晰介绍。该土地使用/陆地覆盖问题的结果主要有助于土地资源管理,城市规划者和其他政府官员在全球范围内保护土地资源及其未来需求的性质。

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