计算机工程与应用2012，Vol.48Issue(6)：193-195,3.DOI:10.3778/j.issn.1002-8331.2012.06.055
对象化过程中的怏速标号算法研究
Fast labeling method used in objectification
摘要
Abstract
Object-oriented information extraction method has become the mainstream of automatic extraction of information in remote sensing, since it is in accord with artificial intelligence and has more approaches to geographic theories. Objectification is a key step in object-oriented automatic extraction of information, in which a segmentation image is transmitted into a vector image. The proposed method is able to assign a unique value to an object represented by a grey value in the segmentation image, at the same time, calculates some other features of this object. Using this method, many processes such as removing small region, pretreatment of vectorization can be achieved much faster.关键词
面向对象信息提取/对象化/行程编码/快速标号/去除小斑块Key words
object-oriented information extraction/objectification/run-length coding/fast labeling/remove small region分类
信息技术与安全科学引用本文复制引用
李龙翔,胡晓东,沈占锋,明冬萍,宋卓沁..对象化过程中的怏速标号算法研究[J].计算机工程与应用,2012,48(6):193-195,3.基金项目
国家自然科学基金(No.11001259,40971228) （No.11001259,40971228）
中央高校基本科研业务费专项资金(No.2010ZY20). （No.2010ZY20）
