Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Speckle noise is an inherent problem in synthetic aperture radar (SAR) imaging system. For further imagery analysis and interpretation, it demands better and more efficient polarimetric SAR (PolSAR) speckle-filtering algorithms. Inspired by the great success of stochastic denoising, our goal in this paper is to reduce speckle noise of PolSAR image with random walk model. Taking spatial distance into consideration, limited steps of random walks over small pixel neighbourhoods provides good stochastic samples, then the final estimation of denoised image based on transition probabilities is obtained. In addition, since polarimetric distance is used to measure the dissimilarities beten pixels, the proposed method exploits both the spatial and polarimetric information. Despeckling results on simulated SAR data and real SAR data demonstrate that our method provides efficient speckle reduction as ll as spatial resolution and polarimetric information preservation.
['Tianheng Yan', 'Xueke Yin', 'Wen Yang', 'Carlos Lopez-Martinez']
I am writing a research paper on a idea Polarimetric SAR speckle filtering based on stochastic sampling
[{"from": "human", "value": "I am writing a research paper on a idea Polarimetric SAR speckle filtering based on stochastic sampling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Speckle noise is an inherent problem in synthetic aperture radar (SAR) imaging system. For further imagery analysis and interpretation, it demands better and more efficient polarimetric SAR (PolSAR) speckle-filtering algorithms. Inspired by the great success of stochastic denoising, our goal in this paper is to reduce speckle noise of PolSAR image with random walk model. Taking spatial distance into consideration, limited steps of random walks over small pixel neighbourhoods provides good stochastic samples, then the final estimation of denoised image based on transition probabilities is obtained. In addition, since polarimetric distance is used to measure the dissimilarities beten pixels, the proposed method exploits both the spatial and polarimetric information. Despeckling results on simulated SAR data and real SAR data demonstrate that our method provides efficient speckle reduction as ll as spatial resolution and polarimetric information preservation."}]