Classification of GF-2 Image Used by Multiple Classifiers Self-adaption Cascade Model

doi:10.13474/j.cnki.11-2246.2017.0343

Abstract

Abstract: Aiming at the shortcomings of traditional single classifier and the lacking that the existing multiple classifiers cannot adjust itself dynamically according to the characteristics of unknown sample, the classification method of high resolution remote sensing image based on the self-adaption cascade model of multiple classifiers is proposed. In this model, the optimal classifier and the whole optimal classifier are selected to dynamically assemble, making an self-adaption adjustment by performance of the sample which will be classified in this classifier, and the model can produce output category information. By GF-2 image on Hangzhou area classification test, the results show that the multiple classifiers self-adaption cascade model method has a higher classification accuracy compared to a single classifier.

Key words: multiple classifiers, image classification, self-adaption model, GF-2

CLC Number:

P237

WANG Yao, YANG Huachao, WANG Guanghui, HUANG Jie, WANG Geng, LIU Xiao. Classification of GF-2 Image Used by Multiple Classifiers Self-adaption Cascade Model[J]. 测绘通报, 2017, 0(11): 32-36.

References

[1] 黄鸿, 郑新磊. 高光谱影像空-谱协同嵌入的地物分类算法[J]. 测绘学报, 2016,45(8):964-972.
[2] 刘小平, 黎夏, 何晋强, 等. 基于蚁群智能的遥感影像分类新方法[J]. 遥感学报, 2008,12(2):253-262.
[3] 杨海波, 王宗敏, 张涛. 基于混合多分类器结合算法的遥感分类[J]. 计算机工程, 2010,36(11):173-175.
[4] 鲍蕊. 光谱和空间特征联合的高光谱遥感影像多分类器集成方法[D]. 南京:南京大学, 2016.
[5] 郭云开, 曾繁. 融合增强型模糊聚类遗传算法与ISODATA算法的遥感影像分类[J]. 测绘通报, 2015(12):23-26.
[6] 柏延臣, 王劲峰. 结合多分类器的遥感数据专题分类方法研究[J]. 遥感学报, 2005,9(5):555-563.
[7] 韩建峰, 杨哲海. 组合分类器及其在高光谱影像分类中的应用[J]. 测绘科学技术学报, 2007,24(3):231-234.
[8] 王惠英, 苏伟, 周军其. 基于多分类器组合面向对象遥感影像信息提取方法[J]. 测绘工程, 2009,18(5):22-26.
[9] 彭正林, 毛先成, 刘文毅, 等. 基于多分类器组合的遥感影像分类方法研究[J]. 国土资源遥感, 2011(2):19-25.
[10] 唐春生, 金以慧. 基于全信息矩阵的多分类器集成方法[J]. 软件学报, 2003,14(6):1103-1109.
[11] 窦鹏. 基于投票法的多分类器集成遥感影像分类技术[D]. 兰州:兰州交通大学, 2014.
[12] 陈绍杰, 李光丽, 张伟,等. 基于多分类器集成的煤矿区土地利用遥感分类[J]. 中国矿业大学学报, 2011, 40(2):273-278.
[13] 薛梅, 郑全弟. 基于差异性度量的多分类器集成系统设计[J]. 计算机工程与设计, 2010, 31(23):5104-5107.
[14] 王更, 王光辉, 杨化超. 融合颜色-纹理模型的均值漂移分割算法[J]. 测绘科学, 2015,40(8):108-112.
[15] SUN J, LI H. Financial Distress Prediction Based on Serial Combination of Multiple Classifiers[J]. Expert Systems with Applications, 2009,36(4):8659-8666.