Plume motion characterization in unmanned aerial vehicle aerial video and imagery-Reference-Cited by-同舟云学术

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Plume motion characterization in unmanned aerial vehicle aerial video and imagery

Published:2024-01-04 Issue:01 Volume:18 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Mehrubeoglu Mehrube¹,Cammarata Kirk²,Zhang Hua¹,McLauchlan Lifford³

Affiliation:

1. Texas A&M University-Corpus Christi, Department of Engineering, Corpus Christi, Texas, United States

2. Texas A&M University-Corpus Christi, Department of Life Sciences, Corpus Christi, Texas, United States

3. Texas A&M University-Kingsville, Department of Electrical and Computer Engineering, Kingsville, Texas, United States

Publisher

SPIE-Intl Soc Optical Eng

Reference21 articles.

1. Monitoring coastal water flow dynamics using sub-daily high-resolution SkySat satellite and UAV-based imagery

2. Behaviors of the Yukon River Sediment Plume in the Bering Sea: Relations to Glacier-Melt Discharge and Sediment Load

3. Comparison of structure and turbulent mixing between lateral and leading-edge river plume fronts: Microstructure observations from a T-REMUS AUV

4. On the spatial scales of a river plume

5. Seasonal sediment plumes in the Krishna-Godavari basin using satellite observations

Cited by 1 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. Age-based clustering of seagrass blades using AI models;Real-Time Image Processing and Deep Learning 2024;2024-06-07

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