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New edge adaptive GIHS-BT-SFIM fusion method and class-based approach investigation

A unified image fusion approach suitable for all employed imaging sources becomes necessary, with the development of space-borne imaging sensors. In this work, two issues were tested to improve the spectral quality of fused images and also investigating class-based fusion results. First, a Generalized Intensity-Hue-Saturation (GIHS), Brovey Transform (BT) and SFIM approach was implemented. This kind of algorithm has shown computational advantages among other fusion methods like wavelet and can be extended to different number of bands as in literature discussed. The used IHS-BT-SFIM algorithm incorporates IHS, IHS-BT, BT, BT-SFIM and SFIM methods by two adjustable parameters. Second, a method was proposed to add edge information in previous GIHS_BT_SFIM and edge enhancement by panchromatic image. Fused image was not improved significantly by panchromatic data addition. Third, an Edge Adaptive GIHS_BT_SFIM was proposed to enforce fidelity away from the edges. Using MS image off edges has shown spectral improvement in some fusion methods. Fourth, a class-based fusion was tested, which tests different coefficients for each method due to its class. The best parameters for vegetated areas were k1 = 0.6, k2 = 0.8, and for urban region, they were k1 = 0.4, k2 = 0.4. Results might be applicable in generalisation of various fusion methods.