Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification

	Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification
	Bo Zhao; Fan Yang; Rongzhen Zhang; Junping Shen; Jürgen Pilz; Dehui Zhang
	2019
发表期刊	Journal of Spatial Science
页码	1–24
摘要	Based on an ASTER VNIR image, we studied the applicability of the MML-EM (Minimum Message Length Criterion-Expectation Maximization) algorithm for land-use classification in southern Austria. Firstly, the RVI (ratio vegetation index) and PC₁ (first principal component) bands have been utilized to enhance the targeted information; secondly, the MML-EM algorithm and the terrain analysis-based imagery clipping were jointly used for surface type discrimination. Findings showed that the MML-EM method can provide refined imagery classification results and this is the first time it has been applied in this realm.
关键词	Mixture Gaussian Distribution land Use topographical Analysis remote Sensing
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.gyig.ac.cn/handle/42920512-1/10944
专题	矿床地球化学国家重点实验室
作者单位	1.Advanced Algorithm Research Division, Beijing PIESAT Information Technology Co., Ltd, Beijing, China 2.Beijing Institute of Geology for Mineral Resources, Beijing, China 3.Key Laboratory of Geochemical Cycling of Carbon and Mercury in the Earth’s Critical Zone, Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang, China 4.State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China 5.Henan Institute of Geological Survey, Zhengzhou, China 6.Institute of Statistics, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria 7.School of Earth Sciences and Resources, China University of Geosciences, Beijing, China
推荐引用方式 GB/T 7714	Bo Zhao；Fan Yang；Rongzhen Zhang；Junping Shen；Jürgen Pilz；Dehui Zhang. Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification[J]. Journal of Spatial Science,2019:1–24.
APA	Bo Zhao；Fan Yang；Rongzhen Zhang；Junping Shen；Jürgen Pilz；Dehui Zhang.(2019).Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification.Journal of Spatial Science,1–24.
MLA	Bo Zhao；Fan Yang；Rongzhen Zhang；Junping Shen；Jürgen Pilz；Dehui Zhang."Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification".Journal of Spatial Science (2019):1–24.

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