摘要
基于多光谱纹理“映射模式”概念,提出了基于光谱数据相似性的多光谱、高光谱数据的编码方法。利用光谱相似测度对不同类型的纹理进行编码,表征地物的全局纹理特征,将纹理提取的算法扩展到多维光谱图像分析中,提出了多尺度纹理组合算法。试验证明,该方法合理有效,可大大提高分类的准确性和精度。
As the traditional methods of texture extraction can not be adapted to multispectral and hyperspectral data,this paper presents a coding method of multispectral and hyperspectral data based on spectral similarity. With the concept of mapping mode of multispectral and hyperspectral texture, the new algorithm of texture extraction per- forms coding by the spectral similarity measure so as to reflect the overall objective texture feature. The method extends the algorithm of extracting texture to multidimensional and hyperdimensional spectral image analysis, and gives multiscale texture combination algorithm. Studies show that the coding mapping method of extracting texture is valid and effective. This paper also demonstrates that the texture feature does greatly improve the accuracy and precision of the classification.
出处
《国土资源遥感》
CSCD
2005年第4期32-37,i0001,共7页
Remote Sensing for Land & Resources
基金
国家自然科学基金资助项目(40371079)
关键词
多光谱/高光谱图像
光谱相似性
纹理分析
编码
多尺度
Multispectral/Hyperspectral image
Spectral similarity
Texture analysis
Coding
Multiscale
