Methods for Classification of the High Spatial Resolution Remotely Sensed Images Based on Wavelet Transform

This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform,presents two improved approaches of point feature weighting and smart windows.The point feature weighting algorithm constructs the deviation vector using means and variances of samples,and uses the deviation vector to restrain the feature units which do harm to the classification accuracy.The subsequent experiment results show that the performance of the presented algorithm is much better than the conventional one.