Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this study, an automated method that is based on image intensities for geometric registration of multi-sensor/multi-resolution imagery acquired from EO-1 Hyperion and IKONOS satellite platforms is proposed. Method performs an area-based transformation to register images of different spectral and spatial resolution with high geometric accuracy. Method basically compares similarity of intensities of two images. Position where there is highest similarity score in translated blocks gives the best match. Chrominance Transform Operation (CTO) that  tested in this study as a similarity measure depicted higher accuracy and performance compared to methods commonly used in the field i.e. Normalized Cross-Correlation (NCC) and Mutual Information (MI).
['Deniz Gerçek', 'Davut Çeşmeci', 'M. Kemal Gullu', 'Alp Erturk', 'Sarp Erturk']
I am writing a research paper on a idea An automated approach for registration of multisensor/multi-resolution imagery
[{"from": "human", "value": "I am writing a research paper on a idea An automated approach for registration of multisensor/multi-resolution imagery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this study, an automated method that is based on image intensities for geometric registration of multi-sensor/multi-resolution imagery acquired from EO-1 Hyperion and IKONOS satellite platforms is proposed. Method performs an area-based transformation to register images of different spectral and spatial resolution with high geometric accuracy. Method basically compares similarity of intensities of two images. Position where there is highest similarity score in translated blocks gives the best match. Chrominance Transform Operation (CTO) that  tested in this study as a similarity measure depicted higher accuracy and performance compared to methods commonly used in the field i.e. Normalized Cross-Correlation (NCC) and Mutual Information (MI)."}]