Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery | |
Lv, Pengyuan; Zhong, Yanfei; Zhao, Ji; Zhang, Liangpei | |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
2018 | |
卷号 | 56期号:7 |
关键词 | Change detection (CD) conditional random fields (CRFs) high spatial resolution (HSR) object-based image analysis (OBIA) remote sensing |
ISSN号 | 0196-2892 |
DOI | 10.1109/TGRS.2018.2819367 |
URL标识 | 查看原文 |
收录类别 | SCIE ; EI |
语种 | 英语 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4236412 |
专题 | 武汉大学 |
推荐引用方式 GB/T 7714 | Lv, Pengyuan,Zhong, Yanfei,Zhao, Ji,et al. Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(7). |
APA | Lv, Pengyuan,Zhong, Yanfei,Zhao, Ji,&Zhang, Liangpei.(2018).Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(7). |
MLA | Lv, Pengyuan,et al."Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.7(2018). |
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