Analysis of Spectral Characteristics Based on Optical Remote Sensing and SAR Image Fusion  

作　　者：Weiguo LI Nan JIANG Guangxiu GE 

机构地区：[1]Institute of Agricultural Economy and Information,Jiangsu Academy of Agricultural Sciences

出　　处：《Agricultural Science & Technology》2014年第11期2035-2038,2040,共5页农业科学与技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(41171336);the Project of Jiangsu Province Agricultural Science and Technology Innovation Fund(CX12-3054)

摘　　要：Because of cloudy and rainy weather in south China, optical remote sens-ing images often can＇t be obtained easily. With the regional trial results in Baoying, Jiangsu province, this paper explored the fusion model and effect of ENVISAT/SAR and HJ-1A satel ite multispectral remote sensing images. Based on the ARSIS strat-egy, using the wavelet transform and the Interaction between the Band Structure Model （IBSM）, the research progressed the ENVISAT satel ite SAR and the HJ-1A satel ite CCD images wavelet decomposition, and low/high frequency coefficient re-construction, and obtained the fusion images through the inverse wavelet transform. In the light of low and high-frequency images have different characteristics in differ-ent areas, different fusion rules which can enhance the integration process of self-adaptive were taken, with comparisons with the PCA transformation, IHS transfor-mation and other traditional methods by subjective and the corresponding quantita-tive evaluation. Furthermore, the research extracted the bands and NDVI values around the fusion with GPS samples, analyzed and explained the fusion effect. The results showed that the spectral distortion of wavelet fusion, IHS transform, PCA transform images was 0.101 6, 0.326 1 and 1.277 2, respectively and entropy was 14.701 5, 11.899 3 and 13.229 3, respectively, the wavelet fusion is 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.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, this paper explored the fusion model and effect of ENVISAT/SAR and HJ-1A satellite multispectral remote sensing images. Based on the ARSIS strategy, using the wavelet transform and the Interaction between the Band Structure Model(IBSM), the research progressed the ENVISAT satellite SAR and the HJ-1A satellite CCD images wavelet decomposition, and low/high frequency coefficient reconstruction, and obtained the fusion images through the inverse wavelet transform.In the light of low and high-frequency images have different characteristics in different areas, different fusion rules which can enhance the integration process of selfadaptive were taken, with comparisons with the PCA transformation, IHS transformation and other traditional methods by subjective and the corresponding quantitative evaluation. Furthermore, the research extracted the bands and NDVI values around the fusion with GPS samples, analyzed and explained the fusion effect. The results showed that the spectral distortion of wavelet fusion, IHS transform, PCA transform images was 0.101 6, 0.326 1 and 1.277 2, respectively and entropy was14.701 5, 11.899 3 and 13.229 3, respectively, the wavelet fusion is 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.

关 键 词：Spectral characteristics  Data fusion  SAR  Multi-spectral image  Wavelet transform 

分 类 号：S127[农业科学—农业基础科学]