GF-2 remote sensing image detection method for fouling in aquaculture wastewater from seawater ponds based on a multiscale feature extraction network——Taking sandy beaches as an example-Reference-Cited by-同舟云学术

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GF-2 remote sensing image detection method for fouling in aquaculture wastewater from seawater ponds based on a multiscale feature extraction network——Taking sandy beaches as an example

Published:2024-01-26 Issue: Volume:50 Page:261-266
ISSN:
Container-title:2024 8th International Conference on Control Engineering and Artificial Intelligence
language:
Short-container-title:

Author:

Zhang Caihui¹^ORCID,Chu Jialan²^ORCID,Zhang Can²^ORCID,Ren Peng³^ORCID,Chen Yanlong²^ORCID

Affiliation:

1. National Marine Environmental Monitoring Center, China and College of Oceanography and Space Informatics, China University of Petroleum (East China), China

2. National Marine Environmental Monitoring Center, China

3. College of Oceanography and Space Informatics, China University of Petroleum (East China), China

Funder

National Natural Science Foundation of China under Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640824.3640865

Reference20 articles.

1. Analysis of mariculture pollution situation and ecological environment supervision;Li X. G.;Environ. Prot.,2022

2. Liaoning Provincial Administration for Market Regulation. DB21/T 3382-2021, Liaoning Province Marine Aquaculture Tail Water Control Standard. Shenyang: Liaoning Provincial Market Supervision Administration, 2021, pp. 1–3.

3. Research progress on prevention and control technology of mariculture wastewater: A review;Li N.;Fish. Sci.,2023

4. Polarization Estimation With Vector Sensor Array in the Underdetermined Case

5. A deep learning model for green algae detection on SAR images;Guo Y.;IEEE Trans. Geosci. Remote Sens.,2022

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