Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification
文献类型：期刊论文
| 作者 | Bo Zhao; Fan Yang; Rongzhen Zhang; Junping Shen; Jürgen Pilz; Dehui Zhang |
| 刊名 | Journal of Spatial Science
 |
| 出版日期 | 2019 |
| 页码 | 1–24 |
| 关键词 | Mixture Gaussian Distribution land Use topographical Analysis remote Sensing |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 源URL | [http://ir.gyig.ac.cn/handle/42920512-1/10944]  |
| 专题 | 地球化学研究所_矿床地球化学国家重点实验室 |
| 作者单位 | 1.Beijing Institute of Geology for Mineral Resources, Beijing, China 2.Institute of Statistics, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria 3.School of Earth Sciences and Resources, China University of Geosciences, Beijing, China 4.Henan Institute of Geological Survey, Zhengzhou, China 5.State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China 6.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 7.Advanced Algorithm Research Division, Beijing PIESAT Information Technology Co., Ltd, 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. |
入库方式： OAI收割
来源：地球化学研究所
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