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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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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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Statistical Machine Learning for Human Behaviour Analysis
| Statistical Machine Learning for Human Behaviour Analysis |
| Autore | Moeslund Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (300 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
multi-objective evolutionary algorithms
rule-based classifiers interpretable machine learning categorical data hand sign language deep learning restricted Boltzmann machine (RBM) multi-modal profoundly deaf noisy image ensemble methods adaptive classifiers recurrent concepts concept drift stock price direction prediction toe-off detection gait event silhouettes difference convolutional neural network saliency detection foggy image spatial domain frequency domain object contour detection discrete stationary wavelet transform attention allocation attention behavior hybrid entropy information entropy single pixel single photon image acquisition time-of-flight action recognition fibromyalgia Learning Using Concave and Convex Kernels Empatica E4 self-reported survey speech emotion recognition 3D convolutional neural networks k-means clustering spectrograms context-aware framework accuracy false negative rate individual behavior estimation statistical-based time-frequency domain and crowd condition emotion recognition gestures body movements Kinect sensor neural networks face analysis face segmentation head pose estimation age classification gender classification singular point detection boundary segmentation blurring detection fingerprint image enhancement fingerprint quality speech committee of classifiers biometric recognition multimodal-based human identification privacy privacy-aware |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288403321 |
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Moeslund Thomas
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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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