Multi-spectral and SAR?wavelet fusion based on ARSIS strategy

Because of cloudy and rainy weather in south China, optical remote sensing images often can’t be obtained easily.?With the regional trial results in Baoying, Jiangsu province, the fusion model and effect of ENVISAT / SAR and HJ-1A satellite multispectral remote sensing images were explored in this paper. Based on the ARSIS strategy, using the wavelet transform and the interaction between the band structure models (IBSM), ENVISAT satellite SAR and the HJ-1A satellite CCD images wavelet decomposition, and low/high frequency coefficient reconstruction were progressed, and the fusion images through the inverse wavelet transform were obtained. In the light of low and high-frequency images have different characteristics in different areas we took different fusion rules which can enhance the integration process of self-adaptive. the PCA transformation, IHS transformation and other traditional methods were compared by subjective and the corresponding quantitative evaluation. The bands and NDVI values around the fusion with GPS samples were extracted,?analyzed and the fusion effect was explained. The results showed that the spectral?distortion of wavelet fusion, IHS transform, PCA transform images were 0.1016, 0.3261 and 1.2772, respectively and entropy were 14.7015, 11.8993 and 13.2293, respectively, the wavelet fusion was the highest. The method of wavelet maintained good spectral capability, and visual effects while improved the spatial resolution, the information interpretation effect was much better than other two methods.