Improved Sea-Ice Identification Using Semantic Segmentation With Raindrop Removal-Reference-Cited by-同舟云学术

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Improved Sea-Ice Identification Using Semantic Segmentation With Raindrop Removal

Published:2022 Issue: Volume:10 Page:21599-21607
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alsharay Nahed M.¹^ORCID,Chen Yuanzhu²,Dobre Octavia A.³^ORCID,De Silva Oscar³^ORCID

Affiliation:

1. Computer Science Department, Memorial University of Newfoundland, St. John’s, Canada

2. School of Computing, Queen’s University, Kingston, Canada

3. Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Canada

Funder

Memorial University of Newfoundland’s Research Chair

Mitacs Lab2Market Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09709781.pdf?arnumber=9709781

Reference31 articles.

1. Image De-Raining Using a Conditional Generative Adversarial Network

2. Rain removal from still images using L? gradient minimization technique;manu;Proc 7th Int Conf Inf Technol Electr Eng (ICITEE),2015

3. Classification of Sea Ice Types in ENVISAT Synthetic Aperture Radar Images

4. Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks;boulze;Remote Sens,2020

5. Can a computer see what an ice expert sees? Multilabel ice objects classification with convolutional neural networks

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1. Applications of deep learning in physical oceanography: a comprehensive review;Frontiers in Marine Science;2024-07-15

2. Deep Learning Strategies for Analysis of Weather-Degraded Optical Sea Ice Images;IEEE Sensors Journal;2024-05-01

3. Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges;Remote Sensing;2024-02-28

4. Sea-Ice Classification Using Conditional Generative Adversarial Networks;IEEE Sensors Letters;2023-04

5. AM-ResNet: An Attention-Based Multi-Label Classification Network;2022 IEEE International Conference on Robotics and Biomimetics (ROBIO);2022-12-05

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