太阳成8722(中国)有限公司-GREEN NO.1

标题：Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method作者：Luo, Heng; Li, Lin; Zhu, Haihong; Kuai, Xi; Zhang, Zhijun; Liu, Yu

来源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷：5 期：3 文献编号：31 DOI: 10.3390/ijgi5030031 出版年：MAR 2016

摘要：The rapid development and increasing availability of high-resolution satellite (HRS) images provides increased opportunities to monitor large scale land cover. However, inefficiency and excessive independence on expert knowledge limits the usage of HRS images on a large scale. As a knowledge organization and representation method, ontology can assist in improving the efficiency of automatic or semi-automatic land cover information extraction, especially for HRS images. This paper presents an ontology-based framework that was used to model the land cover extraction knowledge and interpret HRS remote sensing images at the regional level. The land cover ontology structure is explicitly defined, accounting for the spectral, textural, and shape features, and allowing for the automatic interpretation of the extracted results. With the help of regional prototypes for land cover class stored in Web Ontology Language (OWL) file, automated land cover extraction of the study area is then attempted. Experiments are conducted using ZY-3 (Ziyuan-3) imagery, which were acquired for the Jiangxia District, Wuhan, China, in the summers of 2012 and 2013. The experimental method provided good land cover extraction results as the overall accuracy reached 65.07%. Especially for bare surfaces, highways, ponds, and lakes, whose producer and user accuracies were both higher than 75%. The results highlight the capability of the ontology-based method to automatically extract land cover using ZY-3 HRS images.

入藏号：WOS:000373367400010

文献类型：Article

语种：English

作者关键词：ontology, land cover, classification, ZY-3, prototype

扩展关键词：REMOTE-SENSING IMAGES; KNOWLEDGE

通讯作者地址：Zhu, HH, Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：luoheng@whu.edu.cn; lilin@whu.edu.cn; hhzhu@whu.edu.cn; kuaixi611011@foxmail.com; zhangzhijun@whu.edu.cn; liuyu_whu@foxmail.com

地址：

[Luo, Heng; Li, Lin; Zhu, Haihong; Kuai, Xi; Liu, Yu] Wuhan Univ, Sch Resource & *Environm* Sci, Wuhan 430079, Peoples R China.

[Zhang, Zhijun] Tianjin Inst Surveying & Mapping, Tianjin 300381, Peoples R China.

研究方向：Physical Geography; Remote Sensing

ISSN：2220-9964