遥感影像像斑综合相邻势能分析的随机场模型

¹ 武汉大学遥感信息工程学院,武汉市珞喻路129号,430079;² 中国科学院软件研究所,北京市中关村南四街4号,100190;³ 中国科学院遥感与数字地球研究所,北京大屯路甲20号,100190

基金项目: 国家自然科学基金资助项目(41101412)；国家863计划资助项目(2013AA102401)；中央高校基本科研业务专项基金资助项目(3101009)

详细信息

Random Field Model Based on Segments Spatial Integrated AdjacentPotential Energy Analysis for Remote Sensing Image

¹School of Remote Sensing and Information Engineering,Wuhan University,129Luoyu Road,Wuhan 430079,China;²Institute of Software,Chinese Academy of Sciences,4Nansi Street,Zhongguancun,Beijing 100101,China;³Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,A20Datun Road,Beijing 100090,China

Funds: 国家自然科学基金资助项目(41101412)；国家863计划资助项目(2013AA102401)；中央高校基本科研业务专项基金资助项目(3101009)

摘要: 针对当前像斑随机场模型无法充分描述方位特征的不足,在RAG-MRF模型的基础上提出了一种基于综合相邻势能分析的随机场模型,采用了新型的基于统计的邻域势函数,并设计了相应的像斑空间相邻特征描述指标,以提升像斑分类及识别的效果。
- 像斑 /
- 方位特征 /
- 空间关系 /
- 随机场 /
- 空间邻接
Abstract: As compared to a pixels’regular neighborhood system,the morphology and distri-bution of segments are irregular,which makes the quantity of neighborhood cliques in RAG-MRF unpredictable,and therefore the quantification of segments’orientation features be-comes impossible.Aimed at the disadvantages of current segments-based random field in ori-entation feature,we propose a random field model based on segments spatial integrated adja-cent potential energy analysis,a new neighborhood potential energy function based on statis-tic was used,and according spatial adjacent feature indices for segments was designed,andthe results of classify or recognition was improved.
- segments /
- orientation feature /
- spatial relation /
- random field /
- spatial adjacency