【摘要】 介绍了基于知识的线状目标的边缘提取、特征表达与识别定位方法．边缘提取与特征表达充分利用人类关于线状目标的知识，摈弃了传统的图像低、中层处理常用的数据驱动型方法．识别的过程将日标的边缘信息与原始图像的灰度信息相结合，避免了复杂背景下图像理解的歧义性，问时圆满解决了由于航空图像的噪声高而引起的边缘提取的不连续及由此带来的识别难题．本方法计算量小，速度快，实用性强更多还原

【Abstract】 dge-detection, feature representation, recognition and locating algorithms of line-featured objects,taking full advantage of the knowledge about line-featured objects in the whole process, are presented in this paper. The traditional data-driving method,which is usually used in the low and intermediate level image processing, is abandoned in the process of edge detection and feature representation. The process of recognition and locating integrates the edge and gray-level information to avoid different interpretation of the same image, at the same time, to solve the recognizing difficulties caused by the discontinuous edges because of high noise in the aerial images successfully. The algorithms are of computing simplicity, speedy and of high practicality.更多还原