Article

Integration of sonar and optical camera images using deep neural network for fish monitoring

2019-08-01

Abstract excerpt

Fish monitoring in aquaculture farms is indispensable for managing the growth and health status of fish resources. However, it is unrealistic to expect humans to be able to perform monitoring at night, when standard optical cameras are generally inapplicable. Although sonar systems can be used at night, their practical applications are limited by their monochrome, low-quality images. In this paper, we describe a r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 65648f92-0c6d-5c93-936e-14c71fc6ca53
DOI: 10.1016/j.aquaeng.2019.102000

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integration of sonar and optical camera images using deep neural network for fish monitoringDOI 10.1016/j.aquaeng.2019.102000Read

UnderwaterImage2IR: Underwater Impulse Response Generation via Dual-Path Pre-trained Networks and CGANSemantic proximity Read

Fish Species Identification on Low Resolution - A Study with Enhanced Super Resolution Generative Adversarial Network (ESRGAN), YOLO and VGG-16Semantic proximity Read

Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-XSemantic proximity Read

PGSOFuse-Net: PCA and GAN Integration for SAROptical Image FusionSemantic proximity Read

An Assistive Computer Vision Tool to Automatically Detect Changes in Fish Behavior In Response to Ambient OdorSemantic proximity Read

Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural networkSemantic proximity Read

LPGAN: A LBP-based Proportional Input Generative Adversarial Network for Image FusionSemantic proximity Read

Digital Inpainting of Mural Images Based on DC-CycleGANSemantic proximity Read

Research on Dunhuang Murals Image Restoration Method Based on Generative Adversarial NetworkSemantic proximity Read

AgriGAN: Unpaired image dehazing via A Cycle-Consistent Generative Adversarial Network for the Agricultural Plant PhenotypeSemantic proximity Read

A Novel Approach for Fish Species Classification Combining Convolutional Neural Networks and Vision TransformersSemantic proximity Read

Removing Unwanted Objects from Image/Frame By Generating Sub-Images Through Generative Adversarial NetworkSemantic proximity Read