遥感影像目标识别中的多尺度分析  

Multi-scale analysis for remote sensing target recognition

作　　者：薄树奎[1] 荆永菊[2] 

机构地区：[1]郑州航空工业管理学院计算机科学与应用系,郑州450015 [2]郑州航空工业管理学院图书馆,郑州450015

出　　处：《计算机应用》2013年第11期3190-3192,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(41001235;41171341);航空科学基金资助项目(2011ZC55005);河南省高等学校青年骨干教师资助计划项目

摘　　要：针对遥感影像目标特性随分辨率变化的问题,提出了目标识别的多尺度分析方法。首先,基于混合像元分析了多尺度影像中地面目标形状结构产生变化的原因,这种变化主要是由混合像元在目标中所占的比例决定的;然后,根据多尺度影像中的目标提取实验,分析并验证了目标提取误差随着尺度变化的规律;最后,基于遥感影像目标的多尺度特性分析,进一步提出了优势类别的概念。从遥感目标的多尺度分析与实验结果来看,目标的形状结构特征随着尺度的变化而发生改变,而且尺度越大改变越大。通过研究遥感影像目标的多尺度特征,揭示了目标特征随尺度变化规律,对多尺度遥感影像自动目标识别具有指导意义。To solve the problem that the features of a target change with the image resolution in target recognition, a multi-scale analysis of target recognition was provided in this paper. First, the multi-scale features of a target were analyzed based on mixed pixels in muhi-resolution images. At different scale, the features of a target had different behaviors that were related to the proportion of mixed pixels in the target. Second, the structural differences of the target were analyzed and illustrated from the experiments of muhi-scale target recognition. Last, the concept of ＂dominating class＂ was proposed based on the multi-scale analysis. The experimental results show that the shape and structural features change with scale of the image and large scale leads big change. This paper studies the target features from multi-scale images and provides guidance on image target recognition.

关 键 词：多尺度 混合像元 结构 目标识别 遥感 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]