A Method for Classification of Multi-spectral Remotely Sensed Image Based on Spatial Fuzzy Texture Spectrum[J]. Journal of Image and Graphics, 2006, 11(2): 186. DOI: 10.11834/jig.20060231.
A Method for Classification of Multi-spectral Remotely Sensed Image Based on Spatial Fuzzy Texture Spectrum
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