Fishing Gear Pattern Recognition by Including Supervised Autoencoder Dimensional Reduction

Fishing is a crucial worldwide activity as it provides a source of food and economic income. A challenge in ecology and conservation is decreasing overfishing and illegal, unreported, and unregulated fishing (IUUF). One strategy to decrease those issues is to track vessels for detecting fishing beha...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 19; S. 1 - 5
Hauptverfasser:	Carlos, Hugo, Aranda, Ramon, Velasco, Mariana Rivera-De, Rodriguez-Gonzalez, Ansel Y., Mendez-Lopez, Maria Elena
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Centroids Coders Conservation Data analysis Data processing Dimension reduction Ecology Economics Fisheries Fisheries management Fishery management Fishing Fishing equipment Fishing gear Food sources Gears Illegal fishing Longline fishing Marine vehicles Monitoring Overfishing Pattern recognition Proposals Purse seines supervised autoencoder Support vector machines Trajectory vessel behavior Vessels
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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