Underwater target detection using deep learning: methodologies, challenges, applications and future evolution
This paper provides a study of the latest target (object) detection algorithms for underwater
wireless sensor networks (UWSNs). To ensure selection of the latest and state-of-the-art …
wireless sensor networks (UWSNs). To ensure selection of the latest and state-of-the-art …
Deep underwater image compression for enhanced machine vision applications
H Zhang, S Fan, S Zou, Z Yu, B Zheng - Frontiers in Marine Science, 2024 - frontiersin.org
Underwater image compression is fundamental in underwater visual applications. The
storage resources of autonomous underwater vehicles (AUVs) and underwater cameras are …
storage resources of autonomous underwater vehicles (AUVs) and underwater cameras are …
A Deep Learning Approach to Estimate Halimeda incrassata Invasive Stage in the Mediterranean Sea
C Muntaner-Gonzalez, M Martin-Abadal… - Journal of Marine …, 2023 - mdpi.com
Invasive algae, such as Halimeda incrassata, alter marine biodiversity in the Mediterranean
Sea. Monitoring these changes over time is crucial for assessing the health of coastal …
Sea. Monitoring these changes over time is crucial for assessing the health of coastal …
Image Detection of Seaweed, Seagrass, and Coral in Coastal and Underwater Marine Ecosystems
Marine ecosystem monitoring is crucial for understanding and preserving the health of
coastal and underwater environments. This research presents an innovative approach to …
coastal and underwater environments. This research presents an innovative approach to …
Seagrass Blurred Image Enhancement and Detection using YOLO and CLAHE Algorithms Performance Comparison
Underwater ecosystems, comprising seagrass, is one of the integral components of marine
biodiversity, requiring meticulous observation and analysis to ensure their preservation and …
biodiversity, requiring meticulous observation and analysis to ensure their preservation and …