测绘科学技术学报Issue(3)：277-281,5.DOI:10.3969/j.issn.1673-6338.2015.03.013
结合灰度和基于动态窗口的纹理特征的遥感影像分类
Classification of Remotely Sensed Imagery according to the Combination of Gray Scale and Texture Features Based on the Dynamic Windows
摘要
Abstract
On the basis of the texture features extracting from the remote sensing images based on gray level co-oc-currence matrix( GLCM) , and aiming at the shortage of conventional algorithms of extracting texture, an improved algorithm of dynamic windows was proposed in this paper. A set of classification experiments were carried out by u-sing the support vector machine( SVM) classifiers with the fusion of gray scale and texture features extracted from different sliding windows. Both qualitative and quantitative approaches were applied to assess the classification re-sults. The experimental results demonstrated that the accuracy of SVM classification combined with texture features based on dynamic windows and gray scale was better than the accuracy of SVM classification combined with gray scale and texture features based on single window. Therefore, the proposed algorithmis superior to traditional algo-rithm and effective for extracting texture information.关键词
灰度共生矩阵/固定窗口/动态窗口/支持向量机/纹理特征/灰度Key words
GLCM( Gray Level Co-occurrence Matrix)/fixed window/dynamic windows/SVM/texture features/gray scale分类
天文与地球科学引用本文复制引用
黄祥,杨武年..结合灰度和基于动态窗口的纹理特征的遥感影像分类[J].测绘科学技术学报,2015,(3):277-281,5.基金项目
国家自然科学基金项目(41071265；41372340)。 （41071265；41372340）
