Assessment of Different Image Fusion Techniques Used for Multi-Sensor Optical and SAR Data

In this study a detailed assessment of various image fusion techniques is performed to provide a fair opportunity to the researchers in selecting an appropriate image fusion technique for their specific requirement. A total of 10-pixel level image fusion techniques, starting with seven conventional strategies, namely, Averaging, Brovey Transform, Multiplicative, High Pass Filter (HPF), High Pass Modulation (HPM), IHS, and Principal Component Analysis (PCA), followed by three hybrid techniques, namely, IHS-BT, PCA-HPF, and Min-Max methods, are included in this study. A detailed, in-depth assessment of all these ten image fusion techniques was performed to highlight their relative advantages and limitations along with their performance based upon the visual and statistical analysis.