Results 31 to 40 of about 6,273,313 (270)
Object Detection in Sonar Images [PDF]
Electronics, 2020 The scope of the project described in this paper is the development of a generalized underwater object detection solution based on Automated Machine Learning (AutoML) principles. Multiple scales, dual priorities, speed, limited data, and class imbalance make object detection a very challenging task. In underwater object detection, further complications
Karimanzira, Divas +3 more
openaire +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik +8 more
wiley +1 more source
Frontiers in Robotics and AI, 2021 One of the key distinguishing aspects of underwater manipulation tasks is the perception challenges of the ocean environment, including turbidity, backscatter, and lighting effects.
Woen-Sug Choi +8 more
doaj +1 more source
Multi-Modal Multi-Stage Underwater Side-Scan Sonar Target Recognition Based on Synthetic Images
Remote Sensing, 2023 Due to the small sample size of underwater acoustic data and the strong noise interference caused by seabed reverberation, recognizing underwater targets in Side-Scan Sonar (SSS) images is challenging.
Jian Wang +4 more
doaj +1 more source
Research on Convolutional Neural Network Model for Sonar IMAGE Segmentation
MATEC Web of Conferences, 2018 The speckle noise of sonar images affects the human interpretation and automatic recognition of images seriously. It is important and difficult to realize the precision segmentation of sonar image with speckle noise in the field of image processing. Full
Jiao Shengxi, Zhao Chunyu, Xin Ye
doaj +1 more source
Remote Sensing, 2022 Due to the strong speckle noise caused by the seabed reverberation which makes it difficult to extract discriminating and noiseless features of a target, recognition and classification of underwater targets using side-scan sonar (SSS) images is a big ...
Zhen Cheng, Guanying Huo, Haisen Li
semanticscholar +1 more source
Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition [PDF]
OCEANS 2022, Hampton Roads, 2022 We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine. We describe the process to develop, tune, and generate imagery to provide representative images
Jaejeong Shin +5 more
semanticscholar +1 more source
Model for Estimation of Bounds in Digital Coding of Seabed Images [PDF]
, 2015 This paper proposes the novel model for estimation of bounds in digital coding of images. Entropy coding of images is exploited to measure the useful information content of the data.
Samcovic, A.
core +2 more sources
Design of Morphological Detector Monitoring System on Horizontal Underground Salt Cavern
Taiyuan Ligong Daxue xuebao, 2021 Aiming at the difficulty in the application of traditional sonar technology in the measurement of horizontal salt caverns, a salt cavern shape detection method with image sonar was proposed, and the monitoring system of the detector was designed and ...
Yanzhao HAO, Chunyan Ma
doaj +1 more source
Sonar Image Target Detection Based on Deep Learning
Mathematical Problems in Engineering, 2022 Due to the nonlinearity of the imaging of sonar equipment and the complexity of the underwater sound field environment, the gray level of the target area of the acquired underwater sonar image is relatively small.
Shibing Yu
semanticscholar +1 more source