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Robust Underwater Object Detection with Autonomous Underwater Vehicle

Proceedings of the International Conference on Computing Advancements, 2020
Underwater Object Detection had been one of the most challenging research fields of Computer Vision and Image Processing. Before Computer Vision techniques were used for underwater imaging, all the tasks associated with object detection had to be done manually by marine scientists making the task one of the most tedious and error prone.
Dipta Gomes   +2 more
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Towards Domain Generalization In Underwater Object Detection

2020 IEEE International Conference on Image Processing (ICIP), 2020
A General Underwater Object Detector (GUOD) should perform well on most of underwater circumstances. However, with limited underwater dataset, conventional object detection methods suffer from domain shift severely. This paper aims to build a GUOD using small underwater dataset with limited types of water quality.
Hong Liu 0008, Pinhao Song, Runwei Ding
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Underwater Object Detection and Tracking

2020
Underwater imagery is a powerful tool for hydrographic inspection including the bathymetry and aquatic possibilities over the extent of the swath. This paper describes a flexible technique for detecting a specific object from the clump of objects, using the reference imaging and target imaging. It facilitates to track the path followed by the object in
Divya Priyadarshni   +1 more
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Underwater Moving Object Detection Using GMG

2021
The development in ocean exploration and observation make the demand for moving object detection in underwater increasingly urgent. The moving object detection in underwater with dynamic or moving background is the challenging and difficult task for the researchers.
Vrushali Pagire, Anuradha C. Phadke
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Detection of underwater objects in hyperspectral imagery

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
One of the biggest challenges in detecting underwater objects in hyperspectral imagery is that, unlike the land-based case, the observed spectrum of an underwater target is highly dependent on the properties of the surrounding water, as well as the depth of the target. In this paper we present a very general framework for underwater detection.
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Spatial Residual for Underwater Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature drift is caused by the dynamic coupling of target features and degradation factors, which reduce underwater detector performance. We redefine feature drift as the instability of target features within boundary constraints while solving partial differential equations (PDEs).
Jingchun Zhou   +5 more
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A man-made object detection for underwater TV

MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 2018
It is a great challenging task to complete an automatic search of objects underwater. Usually the forward looking sonar is used to find the target, and then the initial identification of the target is completed by the side-scan sonar, and finally the confirmation of the target is accomplished by underwater TV.
Binbin Cheng, Wenwu Wang 0004, Yao Chen
openaire   +1 more source

Hyperspectral imaging for underwater object detection

Sensor Review, 2021
Purpose This paper aims to demonstrate the principle and practical applications of hyperspectral object detection, carry out the problem we now face and the possible solution. Also some challenges in this field are discussed. Design/methodology/approach First, the paper summarized the current research status of the hyperspectral techniques.
Zhixin Wang   +5 more
openaire   +1 more source

Underwater object detection system

The Journal of the Acoustical Society of America, 1992
Propagation of modulated radiation from a platform is substantially limitedo unidirectional transmission through a body of water. Acoustical energy is generated at the surface of a remote object submerged in the water in response to impingement and absorption of the modulated radiation from the platform.
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A VISION BASED SYSTEM FOR OBJECT DETECTION IN UNDERWATER IMAGES

International Journal of Pattern Recognition and Artificial Intelligence, 2000
In this paper, a vision-based system for underwater object detection is presented. The system is able to detect automatically a pipeline placed on the sea bottom, and some objects, e.g. trestles and anodes, placed in its neighborhoods. A color compensation procedure has been introduced in order to reduce problems connected with the light attenuation ...
FORESTI, Gian Luca, Gentili S.
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