Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a non parametric modeling for phase maps of interferometric SAR. Cosine and Sine projections maps are generated from the SAR phase map, and each of them are individually modeled by fitting 2D basis functions. The coefficients of these basis functions describe a "smoothed" version of the original phase map. Several applications can be derived from this noise filtered phase map: better phase unwrapping and SAR image compression are to of the applications that  will be discussing in the paper. The approach can be extended to other imaging domains that involve large maps of directional or phase data, such as modeling of phase MRI images, modeling of wind directions in meteorological data, etc.
['Kuntal Sengupta', 'Prabir Burman']
I am writing a research paper on a idea A non parametric approach for modeling interferometric SAR imagery and applications
[{"from": "human", "value": "I am writing a research paper on a idea A non parametric approach for modeling interferometric SAR imagery and applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a non parametric modeling for phase maps of interferometric SAR. Cosine and Sine projections maps are generated from the SAR phase map, and each of them are individually modeled by fitting 2D basis functions. The coefficients of these basis functions describe a \"smoothed\" version of the original phase map. Several applications can be derived from this noise filtered phase map: better phase unwrapping and SAR image compression are to of the applications that  will be discussing in the paper. The approach can be extended to other imaging domains that involve large maps of directional or phase data, such as modeling of phase MRI images, modeling of wind directions in meteorological data, etc."}]