Survey On a Fast Hyperspectral Image Classification Method Combined with Spatial Information

摘要：

　　A fast classification method of hyperspectral image is presented to resolve these problems caused by large processing data and noise influence.First,space information is used to extract Spatial Region Feature Spectral.Next,the non-linear method of feature extraction is used to extract the feature of SRFS.The simulation results show that the method can significantly improve the classification results of classifiers and reduce computing time.

关键词： hyperspectral image SRFS non-linear feature extraction classification

作者: Wang Qian

作者单位: Shandong Jiaotong University Maritime College, Shandong, Weihai, 264200

会议类型: 国际会议

会议名称: 2012 International Conference on Mechanical Engineering,Industrial Electronics and Informatization(MEIE2012)(2012机械工程、工业电子与信息化国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 168-171

在线出版日期: 2012-12-28（万方平台首次上网日期，不代表论文的发表时间）