高分辨率遥感图像分类方法在LUCC中的研究进展
白穆, 刘慧平, 乔瑜, 王晓东
北京师范大学地理学与遥感科学学院,北京100875
New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC
BAI Mu, LIU Hui-Ping, QIAO Yu, WANG Xiao-Dong
School of Geography, Beijing Normal University, Beijing 100875,China
摘要 高空间分辨率遥感图像在土地利用/覆盖(LUCC)变化研究中的应用,促进了遥感分类技术的进一步发展,表现在遥感分类对象、分类特征
和分类器3个方面。本文对其研究进展情况进行了综述,介绍了具有代表性的分类方法,并对各种方法的特点进行了分析。最后,对遥感分类的相关
研究进行了总结和展望。
关键词 :
植被光谱 ,
特征分析 ,
光谱影响因素
Abstract :The application of high spatial resolution remote sensing images to the study of LUCC has promoted the further
development of remote sensing classification techniques in three aspects, namely classification object, classification features
and classifiers. This paper gives a review of the new progress, describes the representative methods, analyzes characteristics of
various methods, and summarizes the progress in the study of remote sensing classification.
Key words :
Vegetation spectrum
Character analysis
Factors affecting spectrum
出版日期: 2010-03-22
引用本文:
白穆, 刘慧平, 乔瑜, 王晓东. 高分辨率遥感图像分类方法在LUCC中的研究进展[J]. 国土资源遥感, 2010, 22(1): 19-23.
BAI Mu, LIU Hui-Ping, QIAO Yu, WANG Xiao-Dong. New Progress in the Classification of High Spatial Resolution Satellite Images for LUCC. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(1): 19-23.
链接本文:
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.01.03
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https://www.gtzyyg.com/CN/Y2010/V22/I1/19
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