Classifying Glare Intensity in Airborne Imagery Acquired during Marine Megafauna Survey-Reference-Cited by-同舟云学术

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Classifying Glare Intensity in Airborne Imagery Acquired during Marine Megafauna Survey

Published:2021-09-20 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2021: San Diego – Porto
language:
Short-container-title:

Author:

Power Josh¹,Drouin Marc-Antoine²,Durand Guillaume²,Thompson Elizabeth³,Ratelle Stephanie³

Affiliation:

1. University of New Brunswick,Department of Electrical and Computer Engineering,Fredericton,Canada

2. National Research Council Canada,Digital Technologies Research Center,Ottawa,Canada

3. Fisheries and Oceans Canada,Fisheries and Ecosystem Science Division Marine Fish and Mammal Section,Moncton,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9705657/9705658/09705752.pdf?arnumber=9705752

Reference43 articles.

1. Theory for Off-Specular Reflection From Roughened Surfaces*

2. Bidirectional reflectance of oceanic waters: A comparison of modeled and measured upward radiance fields

3. Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images

4. Automatic glare removal in reflectance imagery of the uterine cervix

5. Specular Reflection Separation With Color-Lines Constraint

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPS Alignment from Multiple Sources to Extract Aircraft Bearing in Aerial Surveys;2023 IEEE/ION Position, Location and Navigation Symposium (PLANS);2023-04-24

2. Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

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