THE APPLICATION OF THE WAVELET TEXTURE METHOD TO THE CLASSIFICATION OF SINGLE-BAND, SINGLE-POLARIZED AND HIGH-RESOLUTION SAR IMAGES

Abstract

This paper has classified the high-resolution SAR images obtained along the Huaihe River in July 2003. The authors first analyzed the high-resolution SAR image and pointed out the disturbing factors. After filtering the noise, the SAR image was decomposed with wavelet transform and the energy of the textures was computed by selecting a small window. Finally, the BP algorithm was used to classify the textures. The results indicate that, with the wavelet texture classification method, the high classification precision for the single-band, single-polarized and high-resolution SAR images can be obtained. This paper has also analyzed the shortages of the texture classification method for high-resolution SAR images and pointed out the research direction of the high-resolution SAR image classification.