高分辨率卫星影像车辆检测的抗体网络  

An antibody networks approach for vehicle detection from high resolution satellite imagery

作　　者：郑宏[1] 胡学敏[1] 

机构地区：[1]武汉大学电子信息学院智能计算与智能系统联合实验室,湖北武汉430079

出　　处：《遥感学报》2009年第5期913-927,共15页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:40571102);国家科技支撑计划项目(编号:2006BAB10B01)~~

摘　　要：将车辆检测的过程视为一种"抗体"检测"危险抗原"的过程,其中车辆是"危险抗原",车辆检测模板是"抗体"。利用一些车辆图像作为训练样本,建立一种抗体网络学习并获取一组优化的"抗体"。这些"抗体"经过与待测影像的匹配,实现对道路车辆目标的有效提取。采用0.6m分辨率的QuickBird全色数据进行实验,实验结果验证了该方法的有效性和可行性。This paper presents an antibody network approach for vehicle detection from high resolution satellite imagery. This approach regards the vehicle detection procedure as a procedure that antibodies recognize danger antigens, where vehicles are ＂dangerous antigens＂ and vehicle detection templates are ＂antibodies＂. In this paper, some vehicle images are collected as learning examples, and an anfiboby network is proposed to learn optimal ＂antibodies＂, which can be used to detect vehicles through the proposed matching algorithm. Experiments on Quickbird satellite images are given to show the feasibility and performance of the proposed approach.

关 键 词：抗体网络 危险理论 车辆检测 高分辨率卫星图像 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置]