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国土资源遥感  2016, Vol. 28 Issue (2): 8-13    DOI: 10.6046/gtzyyg.2016.02.02
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多光谱遥感影像植被覆盖分类研究进展
闫利, 江维薇
武汉大学测绘学院, 武汉 430079
Progress in the study of vegetation cover classification of multispectral remote sensing imagery
YAN Li, JIANG Weiwei
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
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摘要 

利用多光谱遥感影像进行植被覆盖分类是目前遥感技术应用的热点研究领域之一。在广泛调研文献的基础上,综述了近年来多光谱遥感影像植被分类研究现状和进展,较全面深入地分析了各种植被分类特征、分类算法的优缺点、适应性和应用情况,指出了当前面临的难点和挑战,并对未来发展趋势进行了展望。未来多光谱遥感影像的植被分类不仅要从分类算法上进行创新,提高分类器的自动化程度、分类效率和学习速度,扩大适用范围,增强鲁棒性,而且同样不能忽视对植被分类新特征的挖掘,提高特征的可分性,融合多源数据、利用多时相影像、挖掘更多新特征参与植被分类是未来的发展趋势。

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Abstract

Vegetation cover classification using multispectral remote sensing imagery is a hot research area, in which various new methods emerge endlessly. On the basis of reading a large number of references, the authors summarized in this paper the status and progress of vegetation cover classification with multispectral remote sensing imagery, analyzed advantages and disadvantages, adaptation and application of each vegetation classification feature and method, pointed out current difficulties and challenge, and predicted future development trend. The analysis suggests that future vegetation cover classification of multispectral remote sensing imagery needs not only innovation of classifier in the aspects of improvement of automation, efficiency, learning rate, adaptation and robustness, but also feature mining of vegetation classification. For the purpose of enhancing such aspects as using feature reparability and fusing multisource data, the adoption of multi-temporal images and the tapping of more new features in vegetation classification seem to be future trends.

Key wordsreclamation    remote sensing monitoring    classification system    interpretation criteria    high-resolution remote sensing image
收稿日期: 2014-10-18      出版日期: 2016-04-14
:  TP79  
通讯作者: 江维薇(1988-),女,博士研究生,主要从事遥感图像处理方面的研究。Email: 626834986@qq.com。
作者简介: 闫利(1966-),男,教授,主要从事摄影测量、遥感图像处理和三维激光成像扫描测量技术的研究。Email: lyan@sgg.whu.edu.cn。
引用本文:   
闫利, 江维薇. 多光谱遥感影像植被覆盖分类研究进展[J]. 国土资源遥感, 2016, 28(2): 8-13.
YAN Li, JIANG Weiwei. Progress in the study of vegetation cover classification of multispectral remote sensing imagery. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 8-13.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2016.02.02      或      https://www.gtzyyg.com/CN/Y2016/V28/I2/8

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