Internet of underwater things and big marine data analytics—a comprehensive survey
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …
developed for connecting underwater objects in maritime and underwater environments …
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
Deep learning on underwater marine object detection: A survey
Deep learning, also known as deep machine learning or deep structured learning based
techniques, have recently achieved tremendous success in digital image processing for …
techniques, have recently achieved tremendous success in digital image processing for …
Underwater object detection: architectures and algorithms–a comprehensive review
S Fayaz, SA Parah, GJ Qureshi - Multimedia Tools and Applications, 2022 - Springer
Underwater object detection is an essential step in image processing and it plays a vital role
in several applications such as the repair and maintenance of sub-aquatic structures and …
in several applications such as the repair and maintenance of sub-aquatic structures and …
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
The recognition of coral species based on underwater texture images poses a significant
difficulty for machine learning algorithms, due to the three following challenges embedded in …
difficulty for machine learning algorithms, due to the three following challenges embedded in …
[PDF][PDF] AUV 智能化现状与发展趋势
黄琰， 李岩， 俞建成， 李硕 - 2020 - researchgate.net
AUV 智能化现状与发展趋势 Page 1 第42 卷第2 期 2020 年3 月 机器人 ROBOT Vol.42, No.2
Mar., 2020 DOI:10.13973/j.cnki.robot.190392 AUV 智能化现状与发展趋势 黄琰1,2,3,李岩1,2,俞 …
Mar., 2020 DOI:10.13973/j.cnki.robot.190392 AUV 智能化现状与发展趋势 黄琰1,2,3,李岩1,2,俞 …
Deep neural network recognition of shallow water corals in the Gulf of Eilat (Aqaba)
A Raphael, Z Dubinsky, D Iluz, JIC Benichou… - Scientific reports, 2020 - nature.com
We describe the application of the computerized deep learning methodology to the
recognition of corals in a shallow reef in the Gulf of Eilat, Red Sea. This project is aimed at …
recognition of corals in a shallow reef in the Gulf of Eilat, Red Sea. This project is aimed at …
Faster R-CNN based deep learning for seagrass detection from underwater digital images
Deep learning-based techniques have gained unprecedented success for object detection
tasks. The state of the art object detection accuracy and robustness have been achieved by …
tasks. The state of the art object detection accuracy and robustness have been achieved by …
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
Corals are crucial animals as they support a large part of marine life. The automatic
classification of corals species based on underwater images is important as it can help …
classification of corals species based on underwater images is important as it can help …
[PDF][PDF] Deep learning in aquaculture: A review
M Sun, X Yang, Y Xie - J. Comput, 2020 - csroc.org.tw
Aquaculture is a complex, multicomponent, interactive process that is dependent on water
resource, animal, human as well as capital investment. The measured data affected by …
resource, animal, human as well as capital investment. The measured data affected by …