Spatial-Temporal Hidden Markov Model for Land Cover Classification Using Multitemporal Satellite Images
文献类型:期刊论文
作者 | Liu, Chunlin1,4; Song, Wei2![]() ![]() |
刊名 | IEEE ACCESS
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出版日期 | 2021 |
卷号 | 9页码:76493-76502 |
关键词 | Hidden Markov models Remote sensing Optimization Volume measurement Standards Satellites Licenses Hidden Markov model land cover classification multitemporal satellite images spatial-temporal information |
ISSN号 | 2169-3536 |
DOI | 10.1109/ACCESS.2021.3080926 |
通讯作者 | Xia, Jianxin(jxxia@vip.sina.com) |
英文摘要 | Land cover is of great significance for the study of global ecological environmental change. Multitemporal land cover can help us to understand the change process of the regional environment and formulate corresponding protection policies. For single-period image classification, the spatial-temporal information is often ignored, and the classification accuracy is difficult to improve. In this paper, an iterative hidden Markov model (STHMM) is proposed to optimize the multitemporal classification, in which a stacked autoencoding classifier is used to calculate the initial class probability, and the extended random walker-based spatial optimization technique is adopted to optimize the class probability. Finally, the hidden Markov model with expectation maximization is built by exploiting postprocessing temporal optimization. Experimental results show that the proposed method can outperform other classification techniques, and the spatial-temporal hidden Markov model proposed in this paper exhibits more stable and reliable performance and can be widely used in multitemporal classification. |
WOS关键词 | TIME-SERIES ; DYNAMICS ; AREAS ; MAPS |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000673538400001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/163841] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Xia, Jianxin |
作者单位 | 1.Minzu Univ China, Coll Life & Environm Sci, Beijing 100081, Peoples R China 2.Minzu Univ China, Sch Informat Engn, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Minzu Univ China, Key Lab Ecol & Environm Minor Areas, Natl Ethn Affairs Commiss, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Chunlin,Song, Wei,Lu, Chunxia,et al. Spatial-Temporal Hidden Markov Model for Land Cover Classification Using Multitemporal Satellite Images[J]. IEEE ACCESS,2021,9:76493-76502. |
APA | Liu, Chunlin,Song, Wei,Lu, Chunxia,&Xia, Jianxin.(2021).Spatial-Temporal Hidden Markov Model for Land Cover Classification Using Multitemporal Satellite Images.IEEE ACCESS,9,76493-76502. |
MLA | Liu, Chunlin,et al."Spatial-Temporal Hidden Markov Model for Land Cover Classification Using Multitemporal Satellite Images".IEEE ACCESS 9(2021):76493-76502. |
入库方式: OAI收割
来源:地理科学与资源研究所
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