土地利用/土地覆被变化遥感分类研究综述

Q3 Chemistry

Journal of Spectral Imaging Pub Date : 2020-07-31 DOI:10.1255/jsi.2020.a8

M. Sam Navin, L. Agilandeeswari

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引用次数: 16

摘要

环境遥感领域的研究是有价值和有信息的。高光谱（HSP）和多光谱（MSP）卫星图像已被用于不同的遥感应用。土地利用/土地覆盖变化分类是遥感环境领域的一项重要研究。本综述旨在确定LU/LC的各种应用、遥感卫星、地理空间软件、预处理技术、LU/LC分类、聚类、光谱分解、景观变化模型和评估指标。本综述的主要目的是介绍使用MSP和HSP卫星图像分析LU/LC变化的更常用技术。这篇综述的目的是激励未来的研究人员在遥感领域高效地处理MSP和HSP卫星图像。

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Comprehensive review on land use/land cover change classification in remote sensing

Research in the field of remote sensing of the environment is valuable and informative. Hyperspectral (HSP) and multispectral (MSP) satellite images have been used for different remote sensing applications. Land Use/Land Cover (LU/LC) change classification has been considered as important research in the field of remote sensing environment. This review aims to identify the various LU/LC applications, remote sensing satellites, geospatial software, pre-processing techniques, LU/LC classification, clustering, spectral unmixing, landscape change models and evaluation metrics. The main objective of this review is to present the more frequently used techniques for analysing LU/LC change with MSP and HSP satellite images. An aim of this review is to motivate future researchers to work efficiently with MSP and HSP satellite images in the field of remote sensing.

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来源期刊

Journal of Spectral Imaging Chemistry-Analytical Chemistry

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.