A three-step machine learning approach for algal bloom detection using stationary RGB camera images

A three-step machine learning approach for algal bloom detection using stationary RGB camera images

Stationary surveillance cameras deployed around lakes can provide continuous real-time observations of key water areas for harmful algal bloom (HAB). They can be used to supplement remote sensing-based monitoring in situations that satellites cannot handle. While some cameras were initially installe...

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Bibliographic Details
Main Authors: Zhenyu Tan, Chen Yang, Yinguo Qiu, Wei Jia, Chenxi Gao, Hongtao Duan
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Algal bloom detection
RGB images
Surveillance cameras
Machine learning
Lake Chaohu
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223002455

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http://www.sciencedirect.com/science/article/pii/S1569843223002455

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