%0 Journal Article
%T 基于双层案例推理模型的高分辨率遥感影像道路提取方法
%A 徐军
%A 张鑫淼
%A 李建松
%J 大连海事大学学报
%D 2017
%X 为实现高分辨率遥感影像道路信息的自动提取，引入案例推理思想，提取道路影像的光谱、形状、纹理和影像间拓扑关系特征信息，构建多层案例库，在传统案例推理模型的基础上进行改进，提出多层案例推理模型.结合影像预处理、权重分配和分层检索，实现多层案例推理模型的高分影像道路信息提取.通过道路信息提取、案例自学习、案例适用试验及与SVM方法对比分析，证明该方法基本实现道路信息提取的目标.</br>In order to realize the automatic extraction of road information for high resolution remote sensing images, the case-based reasoning theory was introduced, and the spectrum, shape, texture and topological relationship information of high-resolution remote sensing images were extracted to construct multi-layer case base and improve it based on traditional case reasoning model, then the multi-layer case-based reasoning model was proposed. The high level image road information extraction from multi-layer case-based reasoning model was implemented by combining with image preprocessing, weight allocation and layered retrieval. Experimental results show that the proposed method basically realize the goal of road information by comparing with SVM method, road information extraction, case self-learning and case testing.
%K 国家海洋局公益性行业科研专项经费项目（201305023）.
%U http://xb.dlmu.edu.cn/CN/abstract/abstract474.shtml