Terrain Image Classification with SVM

摘要：

　　Remote sensing is an important tool in a variety of scientific researches which can help to study and solve many practical environmental problems.Classification of remote sensing image, however, is usually complex in many respects that a lot of different ground objects show mixture distributions in space and change with temporal variations.Therefore, automatic classification of land covers is of practical significance to the exploration of desired information.Recently, support vector machine (SVM) has shown its capability in solving multi-class classification for different ground objects.In this paper, the extension of SVM to its online version is employed for terrain image classification.An illustration of online SVM learning and classification on San Francisco Bay area is also presented to demonstrate its applicability.

关键词： online SVM Remote sensing Terrain image classification

作者: Mu-Song Chen Chi-Pan Hwang Tze-Yee Ho

作者单位: Da-Yeh University National Changhua University of Education Feng Chia University

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 89-97

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）