A Method of Content-based Image Analysis Using SVM Classifier in Data Catalogue and Archive System of Remote Sensing Satellite

摘要：

To automatic analysis of the image content,an architecture of content-based image analysis component is designed, which is compatible with existing remote sensing images catalogue and archive system. Thus, indexing can be generated on images content for the images archive. An learning algorithM relying on support vector machine (SVM) is also proposed to classify and label the region of interest in high resolution remote sensing images.This algorithm needs a small size and consumes little computing time online. At the same time, the algorithm can automatically generate semantic interpretations from images.

作者: Wang XiuLi Fan ShiMing

作者单位: Space Star technology Co.,Ltd

会议类型: 国际会议

会议名称: International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2009-11-26（万方平台首次上网日期，不代表论文的发表时间）