成都理工大学学报（自然科学版）2012，Vol.39Issue(5)：541-548,8.
基于马尔科夫随机场模型的多视角异质多模图像的目标检测
Target detection in multiview and multimodal images based on Markov Random Field
摘要
Abstract
The paper study the problem of target detection in multiview and multimodal (multisensor) images. To solve it, a new target detection method is proposed by using Markov Random Field and based on the ground region matching and spatial constraints. The detection result in the data sets including visual reference images in top views and infrared sensed images in side views shows that the region matching can improve the recall rate and the spatial constraints can reduce the false alarm rate. The detection result is better than that by the common methods using edges to detect in multimodal images. The target detection can effectively reduce the impact of multiview, overcome the difficulties of detection in multimodal images and solve the problems of multimodal image registration and target detection in multiview and multimodal images against complex backgrounds.关键词
目标检测/地面物体区域/空间约束/马尔可夫随机场/图模型匹配Key words
target detection/ ground object region/ spatial constraints/ Markov Random Field/ graph model matching分类
信息技术与安全科学引用本文复制引用
何智翔,丁晓青..基于马尔科夫随机场模型的多视角异质多模图像的目标检测[J].成都理工大学学报（自然科学版）,2012,39(5):541-548,8.基金项目
国家高技术研究发展计划(863)项目(2009AA11Z214) （863）
国家自然科学基金资助项目(60972094,61071135) （60972094,61071135）
教育部博士点基金项目(20090002110077) （20090002110077）
