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Hyperspectral Imaging and Applications
| Hyperspectral Imaging and Applications |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (632 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 electronic resource (468 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
radar
fuzzy sets theory artificial neural network game theory safe ship trajectory computer simulation computer decision support underwater sonar image adaptive denoising detection adaptive initialization synthetic aperture sonar (SAS) multireceiver numerical evaluation numerical transfer function imaging algorithm X-Band radar marine radar current measurement quality control measurement reliability accuracies precision WaMoS® II vessel mounted acoustic Doppler current profiler autonomous surface vehicles anti-collision automotive radar target detection interferometric inverse synthetic aperture radar (InISAR) image registration translational motion parameters estimation strong scattering centers fusion terahertz radar imaging side-scan sonar image gray scale correction Retinex image enhancement side-scan sonar multibeam echo sounder initial image matching with constraint dense local self-similarity superimposition quadratic phase error SAR approximation spaceborne real-time SAR imaging orbit determination error synthetic aperture radar (SAR) low frequency high-resolution large bandwidth improved generalized chirp scaling (GCS) Lagrange inversion theorem range-dependent coupling complex Doppler ambiguity fast-maneuvering target refocusing non-uniform FFT (NUFFT) 1D scaled Fourier transform (1D SCFT) 3D sonar bathymetry data reduction autonomous navigation ground penetrating radar underground cavity detection network deep convolutional neural network automated underground object classification phase analysis super-resolution anti-drone systems FMCW radars drones detection radars calibration narrow-band radar target classification signal reconstruction features extraction weighted features fusion Synthetic Aperture Radar (SAR) focusing periodically gapped data complex deconvolution side scan sonar bottom tracking one-dimensional convolutional neural network signal recognition real-time processing space-borne SAR deceptive jamming Doppler sensor acoustic vector sensor road traffic monitoring water column image gas emissions automatic detection optical flow parallax cloud earth observation geostationary satellite meteorological radar MSG SEVIRI sonar data fusion sensor design target tracking target imaging image understanding target recognition |
| 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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Sensors in Agriculture . Volume 1
| Sensors in Agriculture . Volume 1 |
| Autore | Moshou Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
| ISBN | 3-03897-413-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859003321 |
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Moshou Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors in Agriculture . Volume 2
| Sensors in Agriculture . Volume 2 |
| Autore | Moshou Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (354 p.) |
| Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
| ISBN | 3-03897-745-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346858903321 |
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Moshou Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors, Signal and Image Processing in Biomedicine and Assisted Living
| Sensors, Signal and Image Processing in Biomedicine and Assisted Living |
| Autore | Iakovidis Dimitris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (312 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
high efficiency video coding
low complexity hardware friendly vehicular ad-hoc networks color vision deficiency image re-coloring visual assistance video pletysmography image processing heart rate estimation human-computer interaction biomedicine healthcare assisted living action classification human motor behavior computer vision deep learning pose tracking Brain-Computer Interface Blind Source Separation Movement Related Independent Component Wavelet Transform Convolutional Neural Network brain cancer hyperspectral imaging intraoperative imaging feature selection image-guided surgery genetic algorithm particle swarm optimization ant colony optimization support vector machine machine learning visual perception electrocardiogram (ECG) coder non-uniform sampling telecardiology compressed sensing strain gauge tremor quantification Parkinson's disease action tremors wearables biosensors sleep Fitbit Oura Hexoskin Withings cognition medical optics and biotechnology optical pathology convolutional neural networks tissue diagnostics tissue characterization glioblastoma contactless measurement vital signs RGB-thermal image processing infection diseases artificial neural network Doppler radar heart rate real-time processing visually challenged navigation image analysis fuzzy sets convolutional neural networks (CNNs) eye tracking motorized wheelchair ultrasonic proximity sensors laryngeal cancer contact endoscopy narrow band imaging automatic classification feature extraction Barrett neoplasia tissue detection recurrent neural networks upper GI tract |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557758703321 |
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Iakovidis Dimitris
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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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Ubiquitous Technologies for Emotion Recognition
| Ubiquitous Technologies for Emotion Recognition |
| Autore | Banos Oresti |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
self-management interview application
emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557366303321 |
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Banos Oresti
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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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