A Method for Classification of Multi-spectral Remotely Sensed Image Based on Spatial Fuzzy Texture Spectrum
基于空间模糊纹理光谱的多光谱遥感图像分类方法

In order to make full use of texture information of all spectral bands,and take into account the characteristic of significant correlation between the different bands,this paper presents a method to describe texture of multi-spectral remotely sensed image with spatial fuzzy texture spectrum.Based on multi-scale character of texture,the method implements two fuzzy texture filtering algorithm,the first filtering uses triangle membership function,while the second uses spatial distance in place of plane distance.The spatial membership distribution of the fuzzy image is denoted as spatial fuzzy texture spectrum.With classification by FasART(fuzzy adaptive system.ART-based) networks,experimental results show that the proposed method has higher classification precision,especially to the complex texture area.