Classification of High Resolution Image Based on Multi-level Spatial Context LR-CRFs Model(PDF)
《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]
- Issue:
- 2013年第04期
- Page:
- 119-126
- Research Field:
- 地球信息科学
- Publishing date:
Info
- Title:
- Classification of High Resolution Image Based on Multi-level Spatial Context LR-CRFs Model
- Author(s):
- YANG Yun; XU Li; JIA Peng
- 1. School of Geological Engineering and Surveying, Chang’an University, Xi’an 710054, Shaanxi, China; 2. Key Laboratory of Western Mineral Resources and Geological Engineering of Ministry of Education, Xi’an 710054, Shaanxi, China; 3. School of Information Engineering, Chang’an University, Xi’an 710064, Shaanxi, China; 4. Xi’an Changqing Technology and Engineering Co., Ltd., Xi’an 710018, Shaanxi, China
- Keywords:
- conditional random fields; multi-level spatial context; logistic regression; hierarchical graph model; semantic information; high resolution remote sensing; image classification
- PACS:
- P237;TP75
- DOI:
- -
- Abstract:
- -
Last Update: 2014-01-20