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融合多尺度纹理特征森林资源信息提取
引用本文:亓兴兰,刘健,胡宗庆,林金刚,曹祖宁.融合多尺度纹理特征森林资源信息提取[J].北华大学学报(自然科学版),2016,17(1):105-108.
作者姓名:亓兴兰  刘健  胡宗庆  林金刚  曹祖宁
作者单位:福建林业职业技术学院,福建 南平,353000;三明学院,福建 三明,365000;福建南平延平区林业局,福建 南平,353000
基金项目:福建省林业厅林业科技项目(闽林科[2013]5号),福建省教育厅科技项目(JA12408),福建省教育厅中青年教师教育科研项目(JA14390)
摘    要:基于SPOT-5多光谱和全色影像进行图像融合,构造NDVI植被指数,提取多尺度纹理特征并参与分类;基于SVM方法进行森林资源植被分类.结果表明:高通滤波(HPF)为最佳的图像融合方法,与单尺度纹理与光谱信息融合的分类相比,多尺度纹理与光谱信息融合的分类方法总精度提高了3%,验证了新方法的可行性.

关 键 词:SPOT-5影像  融合  多尺度纹理特征  森林资源

Information Extraction of Forest Resources with Fused Multi-Scale Texture Characteristics
Qi Xinglan,Liu Jian,Hu Zongqing,Lin Jingang,Cao Zuning.Information Extraction of Forest Resources with Fused Multi-Scale Texture Characteristics[J].Journal of Beihua University(Natural Science),2016,17(1):105-108.
Authors:Qi Xinglan  Liu Jian  Hu Zongqing  Lin Jingang  Cao Zuning
Abstract:The images were fused, the NDVI vegetation index was structured and the multi-scale texture characteristics were extracted for forest resources vegetation classification with SVM method based on SPOT-5 multispectral and panchromatic images. The results showed:HPF was the best images fusion method, the classification accuracy with multi-scale texture and fused spectral information increased 3% comparing with the method of single scale texture and fused spectral information,the feasibility of new method is verified.
Keywords:SPOT-5 images  fuse  multi-scale texture characteristics  forest resources
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