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FIGURE 2 in A partial revision of the Philarius gerlachei (Nobili, 1905) species complex (Crustacea, Decapoda, Palaemonidae), with description of four new species

https://doi.org/10.5281/zenodo.203052

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise

inferredcites →https://doi.org/10.1016/j.cageo.2017.11.006openalex-snapshot

(Non-) homomorphic approaches to denoise intensity SAR images with non-local means and stochastic distances

inferredcites →https://doi.org/10.1016/s0146-664x(81)80005-6openalex-snapshot

Speckle analysis and smoothing of synthetic aperture radar images

inferredcites →https://doi.org/10.1080/2150704x.2018.1492170openalex-snapshot

SAR image despeckling using a dilated densely connected network

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Adaptive speckle filters and scene heterogeneity

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A Two-Component Deep Learning Network for SAR Image Denoising

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Generative adversarial network-based restoration of speckled SAR images

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Learning Deep CNN Denoiser Prior for Image Restoration

inferredcites →https://doi.org/10.1109/cvpr.2017.623openalex-snapshot

Non-local Color Image Denoising with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

inferredcites →https://doi.org/10.1109/igarss.2017.8128234openalex-snapshot

SAR image despeckling through convolutional neural networks

inferredcites →https://doi.org/10.1109/igarss.2019.8897761openalex-snapshot

Nonlocal Sar Image Despeckling by Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/igarss.2019.8897918openalex-snapshot

A Practical Approach for SAR Image Despeckling Using Deep Learning

inferredcites →https://doi.org/10.1109/igarss.2019.8898473openalex-snapshot

From Patches to Deep Learning: Combining Self-Similarity and Neural Networks for Sar Image Despeckling

inferredcites →https://doi.org/10.1109/igarss.2019.8899245openalex-snapshot

A New Ratio Image Based CNN Algorithm for SAR Despeckling

inferredcites →https://doi.org/10.1109/igarss39084.2020.9324183openalex-snapshot

Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/jstars.2015.2464698openalex-snapshot

Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands

inferredcites →https://doi.org/10.1109/jstars.2016.2561624openalex-snapshot

SAR Image Despeckling by Soft Classification

inferredcites →https://doi.org/10.1109/jstars.2017.2655112openalex-snapshot

Hyperspectral Image Superresolution by Transfer Learning

inferredcites →https://doi.org/10.1109/jurse.2019.8809023openalex-snapshot

SAR Image Despeckling Using Pre-trained Convolutional Neural Network Models

inferredcites →https://doi.org/10.1109/lgrs.2013.2271650openalex-snapshot

Fast Adaptive Nonlocal SAR Despeckling

inferredcites →https://doi.org/10.1109/lgrs.2014.2377722openalex-snapshot

Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification

inferredcites →https://doi.org/10.1109/lgrs.2019.2943961openalex-snapshot

SAR Image Despeckling Using Multiconnection Network Incorporating Wavelet Features

inferredcites →https://doi.org/10.1109/lsp.2017.2758203openalex-snapshot

SAR Image Despeckling Using a Convolutional Neural Network

inferredcites →https://doi.org/10.1109/lsp.2017.2768660openalex-snapshot

BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering

inferredcites →https://doi.org/10.1109/lsp.2018.2850222openalex-snapshot

Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising

inferredcites →https://doi.org/10.1109/mgrs.2013.2277512openalex-snapshot

A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images

inferredcites →https://doi.org/10.1109/tgrs.2002.802473openalex-snapshot

SAR speckle reduction using wavelet denoising and Markov random field modeling

inferredcites →https://doi.org/10.1109/tgrs.2003.821885openalex-snapshot

Homomorphic wavelet-based statistical despeckling of SAR images

inferredcites →https://doi.org/10.1109/tgrs.2011.2161586openalex-snapshot

A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage

inferredcites →https://doi.org/10.1109/tgrs.2014.2352555openalex-snapshot

NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising

inferredcites →https://doi.org/10.1109/tgrs.2019.2906412openalex-snapshot

Guided Patchwise Nonlocal SAR Despeckling

inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

inferredcites →https://doi.org/10.1109/tip.2009.2029593openalex-snapshot

Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights

inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

inferredcites →https://doi.org/10.1109/tip.2017.2713946openalex-snapshot

MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?

inferredcites →https://doi.org/10.1109/tip.2018.2839891openalex-snapshot

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

inferredcites →https://doi.org/10.1109/tpami.1985.4767641openalex-snapshot

Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise

inferredcites →https://doi.org/10.1137/040616024openalex-snapshot

A Review of Image Denoising Algorithms, with a New One

inferredcites →https://doi.org/10.1145/1869790.1869829openalex-snapshot

Bag-of-visual-words and spatial extensions for land-use classification

inferredcites →https://doi.org/10.2139/ssrn.3064761openalex-snapshot

Accountability of AI Under the Law: The Role of Explanation

inferredcites →https://doi.org/10.3390/rs10020196openalex-snapshot

Learning a Dilated Residual Network for SAR Image Despeckling

inferredcites →https://doi.org/10.3390/rs10020236openalex-snapshot

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

inferredcites →https://doi.org/10.3390/rs11040385openalex-snapshot

Statistical Properties of an Unassisted Image Quality Index for SAR Imagery

inferredcites →https://doi.org/10.3390/rs11060702openalex-snapshot

Convolutional Neural Network and Guided Filtering for SAR Image Denoising

inferredcites →https://doi.org/10.3390/rs11131532openalex-snapshot

Deep Learning for SAR Image Despeckling

inferredcites →https://doi.org/10.3390/rs11202379openalex-snapshot

A Filter for SAR Image Despeckling Using Pre-Trained Convolutional Neural Network Model

inferredcites →https://doi.org/10.3390/rs11242921openalex-snapshot

HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling

inferredcites →https://doi.org/10.3390/rs8070594openalex-snapshot

Pansharpening by Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/rs9040389openalex-snapshot

Unassisted Quantitative Evaluation of Despeckling Filters

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.5194/isprs-annals-iii-3-473-2016openalex-snapshot

SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.6183076zenodo-depositor-declared

Philarius gerlachei Nobili 1905

inferred← citeshttps://doi.org/10.5281/zenodo.6183078zenodo-depositor-declared

Philarius polynesicus Marin & Anker, 2011, n. sp.

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