IceMaskNet: River ice detection and characterization using deep learning algorithms applied to aerial photography-Reference-Cited by-同舟云学术

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IceMaskNet: River ice detection and characterization using deep learning algorithms applied to aerial photography

Published:2021-09 Issue: Volume:189 Page:103324
ISSN:0165-232X
Container-title:Cold Regions Science and Technology
language:en
Short-container-title:Cold Regions Science and Technology

Author:

Ansari S.,Rennie C.D.,Clark S.P.,Seidou O.

Funder

NSERC

Manitoba Hydro

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference42 articles.

1. Utilizing Mask R-CNN for detection and segmentation of oral diseases;Anantharaman,2019

2. Automated monitoring of river ice processes using shore-based imagery;Ansari;Cold Reg. Sci. Technol.,2017

3. Automated monitoring of river ice processes from shore-based imagery;Ansari,2016

4. Application of a Fast Superpixel Segmentation Algorithm in River Ice Classification;Ansari,2019

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1. River Ice Detection and Classification using Oblique Shore-based Photography;Cold Regions Science and Technology;2024-09

2. Research on semantic segmentation algorithm of high latitude urban river ice based on deep transfer learning;International Journal of Remote Sensing;2024-06-14

3. Feasibility of Advanced Reflective Cracking Prediction and Detection for Pavement Management Systems Using Machine Learning and Image Detection;Buildings;2024-06-14

4. A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images;Water;2023-08-13

5. Using computer vision to monitor ice conditions in water supply infrastructure: a study of salient image features;Journal of Hydroinformatics;2023-05-19

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