A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
[article]
2019
arXiv
pre-print
Preserved Fulltext
We propose DoPAMINE, a new neural network based multiplicative noise despeckling algorithm. ...
Moreover, we derive a double-sided masked CNN architecture which can control the variance of the activation values in each layer and converge fast to high denoising performance during supervised training ...
Second, we devise a novel double-sided masked CNN architecture, dubbed as DoPAMINE (Doublesided masked CNN for Pixelwise Adaptive MultIplicative Noise dEspeckling), which maintains the conditional inde-pendence ...
arXiv:1902.02530v1
fatcat:f4rph3qksnekjdfvz7n4hmcctq
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We propose DoPAMINE, a new neural network based multiplicative noise despeckling algorithm. ...
Moreover, we derive a double-sided masked CNN architecture which can control the variance of the activation values in each layer and converge fast to high denoising performance during supervised training ...
Second, we devise a novel double-sided masked CNN architecture, dubbed as DoPAMINE (Doublesided masked CNN for Pixelwise Adaptive MultIplicative Noise dEspeckling), which maintains the conditional independence ...
doi:10.1609/aaai.v33i01.33014031
fatcat:xpo7jcgmlbflldhqoawzl6geyy
Deep learning methods for SAR image despeckling: trends and perspectives
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 accepted doi:10.1109/mgrs.2021.3070956 arXiv:2012.05508v2 fatcat:nzkdjcwbsndn7dnxykce5hnhba
Despeckling is an important task that aims at removing such noise, so as to improve the accuracy of all downstream image processing tasks. ...
SAR despeckling. ...
Needless to say, such a strong noise can be highly disruptive for the extraction of useful information, masking altogether precious fine details of the imaged scene. ...
arXiv:2012.05508v1
fatcat:ddktdelm7bebveytq3y5bhvkli