像素级融合又可根据空间域和变换域对各种方法进行分类： 如， 空间域融合

Fusion pixel level but also according to various methods to classify the transform domain and the spatial domain: e.g., spatial domain fusion method includes filtering logic [10], <br>the weighted average method [11], principal component analysis (PCA) [12], HIS spatial image <br>fusion method [13], feathering fusion method [14] and the like; fusion transform domain image comprises a multi <br>-resolution fusion method [15] (i.e., the pyramid decomposition), wavelet transform [16].

Pixel-level fusion can also classify methods based on spatial domains and transformation domains: for example, spatial domain fusion methods include logical filtering methods.<br>Weighted average method , main component analysis (PCA) method , HIS spatial image<br>Fusion method , feather fusion method , 14 , etc.<br>Resolution fusion method (i.e. pyramid decomposition method), wavelet transformation method, etc.

Pixel level fusion can also classify various methods according to space domain and transformation domain: for example, space domain fusion methods include logic filtering method [10]<br>Weighted average method [11], principal component analysis (PCA) method [12], his spatial image<br>Fusion method [13], eclosion fusion method [14], etc.; transform domain image fusion method includes multiple<br>Resolution fusion method [15] (pyramid decomposition method), wavelet transform method [16], etc.