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Paper Citation Record · LEDGER

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation

As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2411.15921.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.15921 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation 99381d60-fc1c-474d-8c44-9ac2b0c670f9 · outbound

This paper cites Interferometric synthetic aperture radar (sar) missions employing formation flying,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Interferometric synthetic aperture radar (sar) missions employing formation flying,

Reference 1

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Observation 1b6ce413-fe55-421f-9347-cca437fc9491 · outbound

This paper cites Learning a dilated residual network for sar image despeckling,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Learning a dilated residual network for sar image despeckling,

Reference 2

Resolution
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Observation b5e0ed32-2a8c-4801-9ddb-12d3517abaf9 · outbound

This paper cites Polarimetric-spatial classification of sar images based on the fusion of multiple classifiers,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Polarimetric-spatial classification of sar images based on the fusion of multiple classifiers,

Reference 3

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Observation c0b45b78-703b-4eb8-b361-505281d908d9 · outbound

This paper cites Some fundamental properties of speckle,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Some fundamental properties of speckle,

Reference 4

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Observation bba0df88-b47f-4076-90f6-4038328070e0 · outbound

This paper cites Digital image enhancement and noise filtering by use of local statistics,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Digital image enhancement and noise filtering by use of local statistics,

Reference 5

Resolution
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Observation 9d2ca770-bf6b-4663-9200-088bb3fa27db · outbound

This paper cites Adaptive noise smoothing filter for images with signal-dependent noise,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Adaptive noise smoothing filter for images with signal-dependent noise,

Reference 6

Resolution
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Observation 39bd522d-b082-4f83-b240-7a053069d38e · outbound

This paper cites A model for radar images and its application to adaptive digital filtering of multiplicative noise,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A model for radar images and its application to adaptive digital filtering of multiplicative noise,

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 8b6fada2-6acc-4c34-9089-fed6351f42a4 · outbound

This paper cites Maximum a posteriori speckle filtering and first order texture models in sar images,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Maximum a posteriori speckle filtering and first order texture models in sar images,

Reference 8

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Observation 27bb5879-c0d6-4edf-9d1f-c84f91299839 · outbound

This paper cites A variational approach to removing multi- plicative noise,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A variational approach to removing multi- plicative noise,

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 24704c22-ccf0-4e79-a18b-79f7f27c4f66 · outbound

This paper cites A nonlinear inverse scale space method for a convex multiplicative noise model,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A nonlinear inverse scale space method for a convex multiplicative noise model,

Reference 10

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Source-reported events for the cited work

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Observation 61997403-cf8a-4753-af4b-bdcf13f954b8 · outbound

This paper cites A convex adaptive total variation model based on the gray level indicator for multiplicative noise removal,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A convex adaptive total variation model based on the gray level indicator for multiplicative noise removal,

Reference 11

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Observation 6b6844c2-aa35-4e36-80dc-62fd179b6379 · outbound

This paper cites A dou- bly degenerate diffusion model based on the gray level indicator for multiplicative noise removal,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A dou- bly degenerate diffusion model based on the gray level indicator for multiplicative noise removal,

Reference 12

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Source-reported events for the cited work

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Observation fe2b02c0-bc23-4410-9076-c77e107bc79d · outbound

This paper cites Image denoising based on a variable spatially exponent pde,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Image denoising based on a variable spatially exponent pde,

Reference 13

Resolution
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Observation a785b11a-3e73-4ced-8e25-b1db3bc049e9 · outbound

This paper cites Multiplicative noise removal for texture images based on adaptive anisotropic fractional diffusion equations,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Multiplicative noise removal for texture images based on adaptive anisotropic fractional diffusion equations,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 059eeb08-001b-4148-a4c0-0c55e179a071 · outbound

This paper cites Multiplicative noise removal based on the smooth diffusion equation,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Multiplicative noise removal based on the smooth diffusion equation,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation f4676fa6-8bfd-473b-bb5b-4fbb73153bf5 · outbound

This paper cites Sar image despeckling through convolutional neural networks,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Sar image despeckling through convolutional neural networks,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 5fab20f5-fd16-4aaa-8ec9-ebdaa46d444a · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 17

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Source-reported events for the cited work

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Observation 332294cd-234b-44bd-9abb-11a30faa9d49 · outbound

This paper cites Sar image despeckling using a convolutional neural network,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Sar image despeckling using a convolutional neural network,

Reference 18

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Source-reported events for the cited work

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Observation f5ea8e42-1c71-472b-92ab-f45878ca37c0 · outbound

This paper cites Sar image despeckling using plug-and-play admm,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Sar image despeckling using plug-and-play admm,

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 78fb949c-edde-49a4-bed9-69111c275d34 · outbound

This paper cites Robustness to spatially-correlated speckle in plug-and-play polsar despeckling,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Robustness to spatially-correlated speckle in plug-and-play polsar despeckling,

Reference 20

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Source-reported events for the cited work

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Observation 58865aca-9253-483c-9c94-f6691cf742b9 · outbound

This paper cites Plug-and-play priors enabled sar image inpainting in the presence of speckle noise,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Plug-and-play priors enabled sar image inpainting in the presence of speckle noise,

Reference 21

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Observation f0364b46-1ae6-4dde-b290-a32ce8a250c3 · outbound

This paper cites Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Coupling model-and data-driven methods for remote sensing image restoration and fusion: Improving physical interpretability,

Reference 22

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Source-reported events for the cited work

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Observation 5ec60f85-ca6f-4e61-878e-f91914ac4561 · outbound

This paper cites Sar image despeckling employing a recursive deep cnn prior,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Sar image despeckling employing a recursive deep cnn prior,

Reference 23

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Source-reported events for the cited work

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Observation 818a3a89-f0bf-4aba-9b8d-3d86ad775e68 · outbound

This paper cites Deep un- rolling network for sar image despeckling,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Deep un- rolling network for sar image despeckling,

Reference 24

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Observation 8a2a3dd3-5548-4a81-bb31-32e79030ddfd · outbound

This paper cites A comprehen- sive study on the robustness of deep learning-based image classification and object detection in remote sensing: Surveying and benchmarking,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A comprehen- sive study on the robustness of deep learning-based image classification and object detection in remote sensing: Surveying and benchmarking,

Reference 25

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Observation 85f85ea2-352a-4f12-a692-bc0149338351 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Explaining and Harnessing Adversarial Examples

Reference 26

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Observation 2e647bd8-075e-42ec-89a8-ecd3346e5e8c · outbound

This paper cites Adversarial examples in the physical world,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Adversarial examples in the physical world,

Reference 27

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Observation 5b4950c4-11fb-43ac-8d0d-453f787c939d · outbound

This paper cites Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack

Reference 28

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Observation dd121aac-a4b5-46a8-87cc-e4d4a6573a03 · outbound

This paper cites Towards Adversarially Robust Deep Image Denoising.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Towards Adversarially Robust Deep Image Denoising

Reference 29

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Observation 61862020-d82f-4f04-8274-079fd788f77b · outbound

This paper cites Agsdnet: Attention and gradient-based sar denoising network,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Agsdnet: Attention and gradient-based sar denoising network,

Reference 30

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Source-reported events for the cited work

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Observation f9d26376-2ff0-439f-9761-9f90a2192e84 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Towards deep learning models resistant to adversarial attacks,

Reference 31

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Source-reported events for the cited work

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Observation d80813fa-bb02-4a25-b489-5e4ca0d28a25 · outbound

This paper cites Adversarial training for free!.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Adversarial training for free!

Reference 32

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Observation dd70150a-5a7b-4657-8070-5ab2c0e96d1e · outbound

This paper cites Lipschitz regularized Deep Neural Networks generalize and are adversarially robust.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Lipschitz regularized Deep Neural Networks generalize and are adversarially robust

Reference 33

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Observation e29cf0ab-104c-46ad-8cc8-0f270f680d4f · outbound

This paper cites Clip: Cheap lipschitz training of neural networks,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Clip: Cheap lipschitz training of neural networks,

Reference 34

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Unavailable: canonical work link unavailable.

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Observation 5ea143e0-c5f8-452b-a412-658062a12922 · outbound

This paper cites Lipschitz regularity of deep neural networks: analysis and efficient estimation,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Lipschitz regularity of deep neural networks: analysis and efficient estimation,

Reference 35

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This paper cites A diffusion equation for improving the robustness of deep learning speckle removal model,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A diffusion equation for improving the robustness of deep learning speckle removal model,

Reference 36

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Observation ff60beab-13d5-4d17-93a1-3b45b07ae3ea · outbound

This paper cites Intriguing properties of neural networks.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Intriguing properties of neural networks

Reference 37

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A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Unresolved cited work

Reference 38

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Observation 306c12b2-92be-4f24-9f5e-a2d17360f015 · outbound

This paper cites Weickert et al., Anisotropic diffusion in image processing.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Weickert et al., Anisotropic diffusion in image processing

Reference 39

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Observation 3cbb521e-de27-4b79-b558-07e23ec97d92 · outbound

This paper cites A fast algorithm for euler’s elastica model using augmented lagrangian method,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation A fast algorithm for euler’s elastica model using augmented lagrangian method,

Reference 40

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Observation b89f8d57-8b2b-4f6f-9faa-156aae139ae5 · outbound

This paper cites On single image scale-up using sparse-representations,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation On single image scale-up using sparse-representations,

Reference 41

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Observation 6899ed40-392d-48ac-a19b-3379ccb7b446 · outbound

This paper cites Color demosaicking by local directional interpolation and nonlocal adaptive thresholding,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Color demosaicking by local directional interpolation and nonlocal adaptive thresholding,

Reference 42

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Observation 1a9ddb29-bc91-4dd4-9526-6b7074356561 · outbound

This paper cites FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 43

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Observation 9d9f494f-462a-4844-8a5d-5bfe53996cb8 · outbound

This paper cites Remote sensing image scene classifi- cation: Benchmark and state of the art,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Remote sensing image scene classifi- cation: Benchmark and state of the art,

Reference 44

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Observation 5e3a5497-6060-4998-9e94-9c7056b34b78 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 45

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Observation f9fe102b-df9e-46b1-9563-e1f779b37400 · outbound

This paper cites Mulog, or how to apply gaussian denoisers to multi-channel sar speckle reduction?.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Mulog, or how to apply gaussian denoisers to multi-channel sar speckle reduction?

Reference 46

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Observation 99d1034d-cca7-4998-af06-62a38f1cc363 · outbound

This paper cites Transformer-based sar image despeckling,.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Transformer-based sar image despeckling,

Reference 47

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