Results 71 to 80 of about 6,273,313 (270)
Ecography, EarlyView.Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
Intelligent Perception Algorithms for Sonar Images: A Review
水下无人系统学报Intelligent perception algorithms for sonar images are vital in ocean exploration and underwater rescue. In recent years, deep learning has achieved remarkable advancements in intelligent perception tasks related to sonar images.
Wenpei JIAO +5 more
doaj +1 more source
Sparse underwater acoustic imaging: a case study [PDF]
, 2012 International audienceUnderwater acoustic imaging is traditionally performed with beam- forming: beams are formed at emission to insonify limited angular regions; beams are (synthetically) formed at reception to form the image.
Bertin, Nancy +5 more
core +2 more sources
Compressive synthetic aperture sonar imaging with distributed optimization [PDF]
The Journal of the Acoustical Society of America, 2019 Synthetic aperture sonar (SAS) provides high-resolution acoustic imaging by processing coherently the backscattered acoustic signal recorded over consecutive pings. Traditionally, object detection and classification tasks rely on high-resolution seafloor mapping achieved with widebeam, broadband SAS systems.
Angeliki Xenaki, Yan Pailhas
openaire +3 more sources
A tunable microwave absorption metamaterial inspired by moths evading bat detection
InfoMat, EarlyView.Electromagnetic radiation in the current environment has become complex and uncontrollable due to the advancement of wireless technology. Inspired by the moth surface cilia to bend and evade bat sonar detection, our work introduces a metamaterial incorporating broadband and tunable microwave absorption properties combined with deep learning algorithms.
Yijie Liu +13 more
wiley +1 more source
Sensors, 2020 In this paper, we discuss underwater walking robot technology to improve the quality of raw data in sector-scanning sonar images. We propose a strategy for an efficient and precise sector-scanning sonar image acquisition method for use in shallow, strong
Hyuk Baek +2 more
doaj +1 more source
Sonar Image Target Detection and Recognition Based on Convolution Neural Network
Mobile Information Systems, 2021 Recent advancements in deep learning offer an effective approach for the study in machine vision using optical images. In this paper, a convolution neural network is used to deal with the target task of sonar detection, and the performance of each neural
Yanchen Wu
semanticscholar +1 more source
Limnology and Oceanography: Methods, EarlyView.Abstract Marine gas bubble release is a worldwide phenomenon that impacts the local marine ecosystem and contributes to carbon fluxes with respect to global warming. It is still challenging to assess gas flow for large seep areas (tens of km2), but recent advances in calibrating and processing multibeam echosounder (MBES) data make this problem ...
P. Urban +2 more
wiley +1 more source
Sidescan Sonar Image Enchancement Using a Decomposition Based on Orthogonal Functions. Applications with Chebyshev Polynomials [PDF]
, 1991 A method is presented to remove from sidescan sonar images of the seafloor, artifacts that are clearly unrelated to the backscattering properties of the seafloor.
Cervenka, Pierre, de Moustier, Christian
core +2 more sources
Scattering statistics of rock outcrops: Model-data comparisons and Bayesian inference using mixture distributions [PDF]
, 2019 The probability density function of the acoustic field amplitude scattered by the seafloor was measured in a rocky environment off the coast of Norway using a synthetic aperture sonar system, and is reported here in terms of the probability of false ...
Anthony P. Lyons +16 more
core +2 more sources