Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model

	Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model
	Jia, Kun 1; Li, Qiangzi 1; Wei, Xiangqin 1; Zhang, Lei 1; Du, Xin 1; Yao, Yunjun 1; Wang, Xiaoxia 1
刊名	GEOCARTO INTERNATIONAL
	2015
卷号	30 期号:8
关键词	land cover update automatic multi-temporal data Operational Land Imager
通讯作者	Li, QZ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.
英文摘要	Automatic land cover update was an effective means to obtain objective and timely land cover maps without human disturbance. This study investigated the efficacy of multi-temporal remote sensing data and advanced non-parametric classifier on improving the classification accuracy of the automatic land cover update approach integrating iterative training sample selection and Markov Random Fields model when the historical remote sensing data were unavailable. The results indicated that two-temporal remote sensing data acquired in one crop growth season could significantly improve the classification accuracy of the automatic land cover update approach by approximately 3-4%. However, the support vector machine (SVM) classifier was not suitable to be integrated in the automatic land cover update approach, because the huge initially selected training samples made the training of the SVM classifier unrealizable.
研究领域[WOS]	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI
语种	英语
WOS记录号	WOS:000359722800003
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38385]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Jia, Kun 2.Yao, Yunjun 3.Wang, Xiaoxia] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Res Ctr Remote Sensing, Beijing 100875, Peoples R China 4.[Jia, Kun 5.Yao, Yunjun 6.Wang, Xiaoxia] Beijing Normal Univ, GIS, Beijing 100875, Peoples R China 7.[Jia, Kun 8.Yao, Yunjun 9.Wang, Xiaoxia] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 10.[Li, Qiangzi
推荐引用方式 GB/T 7714	Jia, Kun,Li, Qiangzi,Wei, Xiangqin,et al. Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model[J]. GEOCARTO INTERNATIONAL,2015,30(8).
APA	Jia, Kun.,Li, Qiangzi.,Wei, Xiangqin.,Zhang, Lei.,Du, Xin.,...&Wang, Xiaoxia.(2015).Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model.GEOCARTO INTERNATIONAL,30(8).
MLA	Jia, Kun,et al."Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model".GEOCARTO INTERNATIONAL 30.8(2015).