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Image and Video Processing and Recognition Based on Artificial Intelligence
| Image and Video Processing and Recognition Based on Artificial Intelligence |
| Autore | Park Kang Ryoung |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (431 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
action recognition
active learning armature artificial image generation artificial intelligence autoencoders bag of deep features binarized statistical image features biometrics body orientation bounding box regression brain computer interface building extraction camera position channel interaction character recognition common spatial patterns computer vision continuous wavelet transform convolutional neural network convolutional neural networks crowd counting cycle-consistent adversarial networks data augmentation deep convolutional neural networks deep learning depth map domain adaptation edges to photos emotion recognition entropy and response epidermis face image analysis face parsing face recognition facial attributes classification fast approximation feature distillation finger position finger-vein recognition fully convolutional networks GC-LSTM model generative adversarial net generative adversarial network generative adversarial network (GAN) generative models global context graph matching guidance helicopter footage heterogeneous database high-resolution remote sensing image HKPolyU-DB homotopy iterative hard thresholding image de-raining image processing image pyramid image-to-image conversion infrared circumferential scanning system joint attention K-nearest neighbors Krawtchouk polynomials label to photos lighting local context loss function malignant thyroid nodule Marr wavelets mask R-CNN medical image fusion monocular depth estimation multi resolution network multi-person multi-scale decomposition multi-task multitask learning normalized cross-correlation object recognition optimization orthogonal moments orthogonal polynomials pathology pose estimation prediction system presentation attack detection presentation attack face images RANSAC remote sensing residual network satellite image SDUMLA-HMT-DB semantic segmentation semi-supervised learning single-sample face recognition skin social robotics sparse coding super-resolution support vector machine surface defect detection surface inspection target recognition Tchebichef polynomials transfer learning typhoon ultrasound image unobserved database vehicle recognition weighted binary cross-entropy loss |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557371203321 |
Park Kang Ryoung
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radar and Sonar Imaging and Processing
| Radar and Sonar Imaging and Processing |
| Autore | Stateczny Andrzej |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (468 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
1D scaled Fourier transform (1D SCFT)
3D sonar accuracies acoustic vector sensor adaptive denoising adaptive initialization anti-collision anti-drone systems approximation artificial neural network automated underground object classification automatic detection automotive radar autonomous navigation autonomous surface vehicles bathymetry bottom tracking cloud complex deconvolution complex Doppler ambiguity computer decision support computer simulation data fusion data reduction deceptive jamming deep convolutional neural network dense local self-similarity detection Doppler sensor drones detection earth observation fast-maneuvering target refocusing features extraction FMCW radars focusing fuzzy sets theory game theory gas emissions geostationary satellite gray scale correction ground penetrating radar high-resolution image enhancement image registration image understanding imaging algorithm improved generalized chirp scaling (GCS) initial image matching with constraint interferometric inverse synthetic aperture radar (InISAR) Lagrange inversion theorem large bandwidth low frequency marine radar current measurement measurement reliability meteorological radar MSG multibeam echo sounder multireceiver narrow-band radar non-uniform FFT (NUFFT) numerical evaluation numerical transfer function one-dimensional convolutional neural network optical flow orbit determination error parallax periodically gapped data phase analysis precision quadratic phase error quality control radar radars calibration range-dependent coupling real-time processing Retinex road traffic monitoring safe ship trajectory SAR sensor design SEVIRI side scan sonar side-scan sonar side-scan sonar image signal recognition signal reconstruction sonar space-borne SAR spaceborne real-time SAR imaging strong scattering centers fusion super-resolution superimposition synthetic aperture radar (SAR) Synthetic Aperture Radar (SAR) synthetic aperture sonar (SAS) target classification target detection target imaging target recognition target tracking terahertz radar imaging translational motion parameters estimation underground cavity detection network underwater sonar image vessel mounted acoustic Doppler current profiler WaMoS® II water column image weighted features fusion X-Band radar |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557524803321 |
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Stateczny Andrzej
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Vessel Detection and Navigation
| Remote Sensing in Vessel Detection and Navigation |
| Autore | Heiselberg Henning |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
adaptive stochastic resonance (ASR)
aircraft AIS altitude automatic radar plotting aid autonomous navigation autonomous underwater vehicles (AUVs) bag-of-words mechanism bathymetric measurements bathymetry complex background computer simulation convolutional neural network (CNN) cross track error (XTE) edge detection false alarm farbon dioxide peaks feature extraction flight campaign formation FTIR game theory GLMB group targets HRRP hydrographic survey image analysis image processing inland waterway Iridium jet stream line enhancer loss function machine learning marine system maritime situational awareness matched intrawell response midwave infrared motion attitude model multi-Global Navigation Satellite System (GNSS) receiver multi-stage rotational detection network (MSRDN) multi-stage rotational region based network (MSR2N) multiscale and small ship detection multispectral navigation neural network nonlinear filter on-board parallax position estimation ranging mode real-time communication real-time detection remote sensing residual structure river monitoring system rotated anchor generation safe objects control Sentinel-2 ship ship classification ship detection single shore station six-degrees-of-freedom motion SSL straight-line fitting structure synthetic aperture radar (SAR) synthetic aperture radar (SAR) ship detection target recognition target tracking temporal offsets trajectory tracking unmanned surface vehicle Unmanned Surface Vessel (USV) velocity vessel detection video monitoring visual saliency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112803321 |
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Heiselberg Henning
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Swarm Robotics / Giandomenico Spezzano
| Swarm Robotics / Giandomenico Spezzano |
| Autore | Spezzano Giandomenico |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico | Computer science |
| Soggetto non controllato |
self-organization
signal source localization multi-robot system sensor deployment parallel technique shape normalization genetic algorithm multiple robots optimization improved potential field optimal configuration autonomous docking asymmetrical interaction comparison behaviors patterns self-assembly robots congestion control surface-water environment target recognition coordinate motion UAV swarms formation reconfiguration swarm robotics swarm intelligence artificial bee colony algorithm obstacle avoidance fish swarm optimization search algorithm robotics time-difference-of-arrival (TDOA) formation mobile robots formation control meta-heuristic event-triggered communication search virtual structure 3D model identification surveillance event-driven coverage scale-invariant feature transform system stability Swarm intelligence algorithm bionic intelligent algorithm unmanned aerial vehicle underwater environment artificial flora (AF) algorithm swarm behavior weighted implicit shape representation Cramer-Rao low bound (CRLB) environmental perception particle swarm optimization modular robots cooperative target hunting virtual linkage multi-AUV consensus control panoramic view nonlinear disturbance observer sliding mode controller path optimization Swarm Chemistry multi-agents |
| ISBN |
9783038979234
3038979236 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674019203321 |
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Spezzano Giandomenico
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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