气候变化领域集成服务门户(CCPortal): Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system

CCPortal

DOI	10.1016/j.jag.2021.102477
	Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system
	Dou, Peng; Shen, Huanfeng; Li, Zhiwei; Guan, Xiaobin
通讯作者	Li, ZW (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.
发表日期	2021
ISSN	1569-8432
EISSN	1872-826X
卷号	103
英文摘要	Recently, time series image (TSI) has been reported to be an effective resource to mapping fine land use/land cover (LULC), and deep learning, in particular, has been gaining growing attention in this field. However, deep learning methods using single classifier need further improvement for accurate TSI classification owing to the 1D temporal properties and insufficient dense time series of the remote sensing images. To overcome such disadvantages, we proposed an innovative approach involving construction of TSI and combination of deep learning and multiple classifiers system (MCS). Firstly, we used a normalised difference index (NDI) to establish an NDIsbased TSI and then designed a framework consisting of a deep learning-based feature extractor and multiple classifiers system (MCS) based classification model to classify the TSI. With the new approach, our experiments were conducted on Landsat images located in two counties, Sutter and Kings in California, United States. The experimental results indicate that our proposed method achieves great progress on accuracy improvement and LULC mapping, outperforming classifications using comparative deep learning and non-deep learning methods.
关键词	LAND-COVER CLASSIFICATION NEURAL-NETWORKS ENSEMBLE
英文关键词	Time series image classification; Remote sensing image classification; Ensemble learning; Deep learning; Normalised differential index
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:000696926400003
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254387
作者单位	[Dou, Peng] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou, Peoples R China; [Dou, Peng; Shen, Huanfeng; Li, Zhiwei; Guan, Xiaobin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China
推荐引用方式 GB/T 7714	Dou, Peng,Shen, Huanfeng,Li, Zhiwei,et al. Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system[J]. 中国科学院西北生态环境资源研究院,2021,103.
APA	Dou, Peng,Shen, Huanfeng,Li, Zhiwei,&Guan, Xiaobin.(2021).Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,103.
MLA	Dou, Peng,et al."Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 103(2021).