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- W2364355312 abstract "For the characteristics that the noise of the remote sensing image is usually composed by optical noise and electrical noise,a hybrid model based on compressive sensing was proposed to de-noise remote sensing images.This model combines compressive sensing theory and adaptive median filter algorithm to de-noise images in the wavelet domain and spatial domain respectively.Experimental results illustrated that the proposed de-noise model could not only remove noise efficiently but also get a higher SNR(Signal to Noise Ratio) and NMSE(Normalized Mean Square Error),and perform well in retaining the detail information of remote sensing images such as texture and edge." @default.
- W2364355312 created "2016-06-24" @default.
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- W2364355312 date "2013-01-01" @default.
- W2364355312 modified "2023-09-25" @default.
- W2364355312 title "A Hybrid Model for De-Noising Remote Sensing Image Based on Compressive Sensing Theory" @default.
- W2364355312 hasPublicationYear "2013" @default.
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