Results 31 to 40 of about 4,817,492 (231)
For aquaculture resource evaluation and ecological environment monitoring, the automatic detection and identification of marine organisms is critical; however, due to the low quality of underwater images and the characteristics of underwater biological ...
Zheng Liu +5 more
doaj +1 more source
Detection and tracking of objects in underwater video
For oceanographic research, remotely operated underwater vehicles (ROVs) routinely record several hours of video material each day. Manual processing of such large amounts of video has become a major bottleneck for scientific research based on this data.
Walther, Dirk +2 more
openaire +3 more sources
Colour reconstruction of underwater images [PDF]
Objects look very different in the underwater environment compared to their appearance in sunlight. Images with correct colouring simplify the detection of underwater objects and may allow the use of visual SLAM algorithms developed for land-based robots
Wojciech Kowalczyk +3 more
core +1 more source
Lightweight marine biological target detection algorithm based on YOLOv5
Underwater object detection currently faces many challenges, such as the large number of parameters in existing object detection models, slow inference speed, blurring of underwater images, and aggregation of small targets, making it difficult to conduct
Heng Liang, Tingqiang Song
doaj +1 more source
SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to handle underwater object detection due to these challenges: (1) images in the underwater datasets and real applications are blurry whilst accompanying severe noise that ...
Long Chen 0019 +7 more
openaire +2 more sources
Underwater Object Detection Method with Enhanced Wavelet Transform Features
The complex and unique underwater environment results in low-quality underwater images, characterized by low contrast, blurriness, and underwater degradation, which significantly affects the capabilities of underwater object detection.
Nan WEI +3 more
doaj +1 more source
Review on Deep Learning Techniques for Underwater Object Detection
Repair and maintenance of underwater structures as well as marine science rely heavily on the results of underwater object detection, which is a crucial part of the image processing workflow. Although many computer vision-based approaches have been presented, no one has yet developed a system that reliably and accurately detects and categorizes objects
Radhwan Adnan Dakhil +1 more
openaire +2 more sources
Modeling fluorescence LIDAR transmission for underwater object detection and recognition
Fluorescence LIght Detection And Ranging (LIDAR) systems have been proven powerful for detecting and recognizing underwater objects in several applications.
CORSINI, GIOVANNI +7 more
core +1 more source
Underwater Object Detection using Tensorflow
Object Detection is a popular technology that detects instances within an image. In order to eliminate the barriers in Computer Vision technology due to the dissolution of the BGR(Blue-Green-Red) constituents with the increase in depth, it has been a ...
Sneha Maurya +3 more
core +1 more source
Underwater Object Detection based on YOLO-v3 network
Recently, side scan sonar (SSS) is increasingly applied to underwater search, which can display the microgeomorphic morphology and distribution, and obtain a continuous two-dimensional submarine acoustic map with a certain width.
Liu JX(刘佳鑫) +5 more
core +1 more source

