A New Relative Radiometric Consistency Processing Method for Change Detection Based on Wavelet Transform and Low-pass Filter

Considering the actual research purpose, this paper has shown the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by comparing the existing radiometric normalization approaches, on the basis of which a preprocessing approach of radiometric consistency based on wavelet transform and spatial low-pass filter has been introduced. This approach separates the high frequency information and low frequency information by wavelet transform first. Then, processing of relative radiometric consistency based on low-pass filter is conducted to the low frequency parts. After the processing, inverse wavelet transform is conducted to obtain the result image. The experimental results show that this approach can reduce the influence of linear or nonlinear radiometric difference of multi-temporal images on change detection a lot. * Corresponding author. Kaimin SUN, Ph.D, majors in digital photogrammetry and remote sensing image processing, etc.E-mail address: [email protected].