Closed PalgunaGopireddy closed 10 months ago
In the paper A FINELY FOCUSING METHOD OF SAR USING VERY DEEP NEURAL NETWORK it is written as
To evaluate the effect of focusing, the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) of the whole image is used in this paper. Meanwhile, in order to evaluate the image effect, Peak Sidelobe Ratio (PSLR) and Integration Sidelobe Ratio (ISLR) of kernel function are used.
But the repository's
VDNNAF
folder told to be a PyTorch implementation of this paper, doesn't have these terms defined. Instead, it is printing a term called entropy , contrast while runningtest.py
THough you siad
(implenmented by me, not the official).
do you know how to calclute these values and what doesentropy
abdcontrast
represent? and high value or low value of these represent good defocusing?
This paper is not our's, we didn't implement PSNR、SSIM、PSLR and ISLR. You can consult the authors to get code.
Thanks. I will ask them.
what do the entropy
and contrast
represent that are printed after running test.py
? also, high value or low value of these represent good defocusing?
Please see our paper:Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine, https://doi.org/10.3390/rs13142683
@.*** | |
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---- Replied Message ----
| From | @.> |
| Date | 12/08/2023 15:20 |
| To | @.> |
| Cc | @.***> |
| Subject | Re: [aisari/AutofocusSAR] How to calculate PSNR
, SSIM
, PSLR
, ISLR
(Issue #8) |
Thanks. I will ask them.
what do the entropy and contrast represent that are printed after running test.py? also, high value or low value of these represent good defocusing?
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In the paper A FINELY FOCUSING METHOD OF SAR USING VERY DEEP NEURAL NETWORK it is written as
But the repository's
VDNNAF
folder told to be a PyTorch implementation of this paper, doesn't have these terms defined. Instead, it is printing a term called entropy , contrast while runningtest.py
THough you siad
(implenmented by me, not the official).
do you know how to calclute these values and what doesentropy
abdcontrast
represent? and high value or low value of these represent good defocusing?