Analysis of Remote Sensing Image Classification Method Based on Genetic Algorithm

摘要：

　　Based on the above characteristic,firstly genetic algorithms,which have been widely used in optimization problems,was applied to feature selection techniques,and then a multiple classifier system model was designed as extension of genetic-algorithm-based feature selection techniques.As there are correlations among features,a new multiple classifier system model was constructed with disjoint feature subspace constraint.These two models were trained by supervised methods and oriented by improving the classification accuracy.The construction of multiple classifier system is completed by genetic algorithms,which determines what optimized feature subspace each sub-classifier should uses.

关键词： genetic algorithms object-oriented feature selection multiple classifier system

作者: Jing Chen

作者单位: Huali College Gangdong University of Technology,Gangzhou Zengcheng,China

会议类型: 国际会议

会议名称: 2018 International Conference on Biomedical Engineering, Machinery and Earth Science (BEMES 2018)(2018年生物医学工程、机械与地球科学国际会议)

会议地点: 广州

会议语种:英文

页码: 181-185

在线出版日期: 2018-09-01（万方平台首次上网日期，不代表论文的发表时间）