Classifying and identifying different objects from the Chinese environmental satellite of HJ-1 CCD images

is difficult because only a few spectrum channels can be used for the used data.A selection of spectrum band is the key to improve classification accuracy when using the fractal texture method on features classification and identification from image data.This paper presents a case study focused on land use classification in Dingnan county

Ganzhou city

Jiangxi province.A double blanket coverage model was used to analyze the spectral characters of the six typical objects from HJ-1 CCD images.An optimal fractal spectrum selection model was adopted to pick up the optimal fractal bands in land use classification.This model was developed based on the diversity of the fractal differentiation of different objects in various spectrums bands.The classification results were validated and assessed.Results show that the proposed optimal fractal band selection model can comprehensively balance the diversity of the fractal differentiation of different objects in various spectrums bands comprehensively.Unlike in the original image classification

the use of the optimal fractal spectrum band to assist classification led to the increase in the overall classification accuracy and in the first principal component fractal by 11.77% and 1.56%

respectively.