国土资源遥感2017，Vol.29Issue(4)：43-47,5.DOI:10.6046/gtzyyg.2017.04.08
融合相容粒理论的遥感图像检索
Remote sensing image retrieval based on tolerance granular computing theory
摘要
Abstract
In order to improve efficiency and accuracy of remote sensing image retrieval, this paper proposes a remote sensing image retrieval approach based on granular computing model. Firstly, according to the tolerance granular computing theory, a series of concepts are defined, such as region tolerance granule, image tolerance granule and regional tolerance granular information table, and remote sensing images are granulated. Secondly, the region tolerance granular similarity is calculated. Finally, the remote sensing image similarity model is built combining tolerance granular computing and image integrated region matching algorithm. Using IKONOS data, the authors verified the two retrieval algorithms. The experimental results show that the precision of proposed approach is increased by 12. 08% in comparison with original integrated region matching algorithm. Therefore, it can be concluded that the proposed approach can meet the users' requirements.关键词
遥感图像检索/相容粒理论/综合区域匹配算法/相似性度量模型/查准率Key words
remote sensing image retrieval/tolerance granular computing/integrated region matching/similarity measure model/precision分类
信息技术与安全科学引用本文复制引用
杨萍,李轶鲲,胡玉玺,杨树文..融合相容粒理论的遥感图像检索[J].国土资源遥感,2017,29(4):43-47,5.基金项目
甘肃省高等学校基本科研业务费项目"基于空间关系敏感的高分辨率卫星图像检索技术研究"(编号:213049 )、甘肃省科技计划项目"面向对象的高分辨率遥感影像滑坡自动提取方法研究"(编号:1506RJZA070)、"基于GIS和RS的城市土地利用动态演化与模拟研究"(编号:148RJZA028)、甘肃省高等学校科研项目"国产高分辨率遥感影像高大地物阴影检测算法研究"(编号:2015A-049)、甘肃省遥感重点实验室(寒旱所)开放基金项目"中国高分系列影像地物阴影检测与补偿算法研究"和兰州市人才创新创业项目"兰州市降雨诱发滑坡预警系统"(编号:2015-RC-28)共同资助. （编号:213049 ）
