SAR Image's Texture Analysis Based on Wavelet

By using wavelet theory, texture measure can be presented in different scales and details. The method gives us a new way of image recognition on texture. This paper introduces the wavelet analysis method for extracting the texture of SAR image. Four kinds of image texture samples are selected from aerocraft SAR image, three kinds of wavelet transform (3/5 waveform lifting, 7/9 waveform lifting, biorthorgonal wavelet) are used in the dyadic wavelet transform for SAR image, and minimum distance classification method based on wavelet character coefficients is used to classify image texture. The experiment shows that the target textual information can be effectively extracted by using wavelet transform.