国土资源遥感2016，Vol.28Issue(2)：8-13,6.DOI:10.6046/gtzyyg.2016.02.02
多光谱遥感影像植被覆盖分类研究进展
Progress in the study of vegetation cover classification of multispectral remote sensing imagery
摘要
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.关键词
多光谱遥感/植被覆盖/分类特征/分类方法Key words
multispectral remote sensing/vegetation cover/classification feature/classification methods分类
计算机与自动化引用本文复制引用
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):8-13,6.
