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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement
| Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement |
| Autore | Kobayashi Hirokazu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (570 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
inverse synthetic aperture ladar (ISAL)
maneuvering target integral cubic phase function (ICPF) fractional Fourier transform (FRFT) non-uniform fast Fourier transform (NUFFT) CLEAN technique simultaneous polarimetric radar constant modulus sequences correlation properties doppler tolerance saliency preprocessing LLC saliency detection image processing scene classification antenna array automatic guided vehicle DoA/DoD estimation MIMO radar direct position determination Doppler Doppler rate maximum likelihood estimator coherent pulse trains single moving sensor Cramer-Rao lower bound bistatic MIMO radar DOD/DOA estimation mutual coupling off-grid sparse problem unmanned aerial vehicle clustering methods man-made targets synthetic aperture radar (SAR) inverse synthetic aperture radar (ISAR) polarimetric decomposition Synthetic Aperture Radar (SAR) microwave imaging constitutive parameters conductivity permittivity tomography RF MEMS switch analytical approach low control voltage high switching speed high reliability radar echo cancellation frequency shifting modulation interrupted sampling radar jamming deception jamming remote sensing SAR radon transform speckle noise filtering maritime traffic monitoring wake detection and analysis synthetic aperture radar differential SAR tomography squinted SAR 3-D deformation 2-D PPS maneuvering target detection coherent integration motion parameter estimation second-order phase difference (SoPD) time-frequency analysis image fusion sparse representation hyperbolic tangent function guided filter narrowband interference separation block sparse Bayesian learning sensing matrix optimization block coherence measure bistatic inverse synthetic aperture radar linear geometry distortion prior information least square error lunar penetrating radar local correlation SNR K-L transform seislet transform generative adversarial nets through-wall radar imaging multipath ghost suppression generator and discriminator ultrahigh resolution spaceborne curved orbit series reversion singular value decomposition (SVD) deramping-based approach crosshole ground penetrating radar (GPR) Bayesian inversion Markov chain Monte Carlo (MCMC) forward model modeling error discrete cosine transform (DCT) through-wall imaging contrast target detection clutter reduction entropy thresholding low-rank approximation S-transformation ISAR micro-Doppler synchrosqueezing PBR (passive bistatic radar) clutter suppression non-uniform grid dilation morphology passive bistatic radar phased array radar parameter estimation aircraft surveillance GPR seasonal permafrost electromagnetic wave attribute relative water content marine radar wind direction retrieval small wind streak local gradient method adaptive reduced method energy spectrum method metamaterial absorber double negative dual-band FMCW radio altimeter methodological error critical height altitude measurement accuracy height pulses ultra-wide frequency deviation sparse recovery wideband noise interference dechirping subspace extraction denoising detection orthogonal matching pursuit pulse radar rotating target micro-motion feature extraction interrupted transmitting and receiving (ITR) dual-polarized radar DOA estimation atomic norm comprehensive SAR multiparametric SAR observation discrete scatterer model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557305803321 |
Kobayashi Hirokazu
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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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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
CIELab
component Substitution Pan sharpening Pléiades VHR Image coal inertinite macerals classification multifractal analysis support vector machine block-based coding video coding H.265/HEVC affine motion compensation image registration homography matrix local homography transformation convolutional neural network moving direct linear transformation super-resolution (SR) convolution neural network (CNN) Gene Expression Programming (GEP) deep learning image preclassification suspicious behavior detection motion magnitude gradient reactivity saliency haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy sparse dictionary stable recovery frame RIP local dimming retinex theory bi-histogram equalization contrast ratio details preservation pansharpening image fusion image quality Satellite Pour l'Observation de la Terre (SPOT) 6 spectral consistency spatial consistency synthesis artificial intelligence dental application images detection parseval frame transform sparse representation octave convolution bilingual scene text reading Ethiopic script attention nasal cytology automatic cell segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing tradeoff process IKONOS remote sensing fine-tuning learning rate scheduler cyclical learning rates label smoothing classification accuracy neural networks salient object detection RGB-D object detection small object multi-scale sampling balanced sampling texture structure optical coke iron ore sinter image processing segmentation identification action recognition silhouette sequences shape features ambient assisted living active ageing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
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Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 2
| Learning to Understand Remote Sensing Images . Volume 2 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-699-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-685-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advancements in Radar Imaging and Sensing Technology
| Recent Advancements in Radar Imaging and Sensing Technology |
| Autore | Samczynski Piotr |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (394 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
microwave staring correlated imaging (MSCI)
gain–phase errors strip self-calibration distributed MIMO radar target localization double-sided bistatic range (BR) microwave staring correlated imaging unsteady aerostat platform motion parameter fitting position error radar imaging synthetic aperture radar compressed sensing sparse reconstruction regularization passive forward scattering radar chirp rate estimation passive radar forward scattering radar radar measurements time-frequency analysis bistatic synthetic aperture radar (SAR) hyperbolic approximation phase compensation modified omega-K ground-penetrating radar noise suppression singular value decomposition Hankel matrix window length optimization synthetic aperture radar (SAR) high resolution wide swath (HRWS) azimuth multichannel reconstruction phase center adaptation false targets suppression damped exponential (DE) model inverse synthetic aperture radar (ISAR) radar signatures state–space approach (SSA) sparse representation polarimetric SAR tomography MIMO radar noise radar radar signal processing techniques analogue correlation modern radar applications delay line high pulse repetition frequency (HPRF) random frequency hopping (RFH) hypersonic aircraft SAR Synthetic Aperture Radar ASIFT Despeckling Filter Navigation Structure from Motion Iterative Closest Point radar tomography compressive sensing bistatic radar parameter-refined orthogonal matching pursuit (PROMP) orthogonal matching pursuit (OMP) k-space tomography narrowband radar off-grid compressive sensing slow-time k-space spatial frequency Doppler radar tomography k-space augmentation high-resolution narrowband radar multiband processing bandwidth stitching multi-scale representation learning (MSRL) pyramid pooling module (PPM) compact depth-wise separable convolution (CSeConv) convolution auto-encoder (CAE) object classification CARABAS II ground scene prediction image stack multi-pass SAR images moving targets inverse SAR (ISAR) motion compensation hybrid SAR/ISAR improved rank-one phase estimation (IROPE) Gaofen-3 (GF-3) assive radar time-frequency reassignment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557350803321 |
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Samczynski Piotr
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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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Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques
| Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques |
| Autore | Ramalli Alessandro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (146 p.) |
| Soggetto non controllato |
signal-to-noise ratio (SNR)
multi-perspective ultrasound imaging dictionary learning common carotid artery spatial resolution contrast enhancement sparse representation PMUT linear array K-singular value decomposition time resolution cardiac imaging coded excitation plane wave beam pattern grating lobe suppression spatial coherence subcutaneous fat layer cylindrical scanning parallel beam forming microbubble MR-visible fiducial marker ultrasonic imaging speckle reduction multi-line transmission MRI adaptive beamforming super-resolution filtered-delay multiply and sum beamforming B-mode imaging medical ultrasound intima-media complex longitudinal motion synthetic aperture quantitative parametrization arterial wall motion pth root beam forming medical image processing crosstalk artifacts ultrasound imaging diverging wave 1-3 piezocomposite material dynamic focusing multi-line acquisition image reconstruction plane wave imaging ultrasound multi-line transmit reconstruction thyroid imaging beamforming |
| ISBN | 3-03921-200-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Ultrasound B-mode Imaging |
| Record Nr. | UNINA-9910367756403321 |
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Ramalli Alessandro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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