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Artificial Intelligence-Based Learning Approaches for Remote Sensing
| Artificial Intelligence-Based Learning Approaches for Remote Sensing |
| Autore | Jeon Gwanggil |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
| ISBN | 3-0365-6084-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Vehicles
| Intelligent Vehicles |
| Autore | Fernández-Llorca David |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (752 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
accident risk maps
advanced driver assistance system advanced driver assistance systems advanced driving assistance systems automated driving automated driving system (ADS) automatic operation automatic parking system (APS) automatic train operation autonomous autonomous driving autonomous mobile robot autonomous racing autonomous vehicle autonomous vehicles classification networks collision warning connected vehicles corner detection and filtering corridor model data association deceleration planning decision-making driver behavior modeling driver behavior modelling driver characteristics online learning driver distraction driver monitor driving assistant driving behavior driving diagnosis driving safety dynamic driving behavior electric vehicle control electric vehicles end-to-end parking fail-aware fail-operational systems fail-x systems fall-back strategy fault detection fusion velocity fuzzy logic system game theory gauge sensors Global Positioning System (GPS) GNSS hardware-in-the-loop simulation high-speed camera homotopy based path planning Hough transform illumination image processing IMU intelligent driving intelligent transportation system intelligent vehicle intelligent vehicles kinematic model lane departure lane markings detection lane-change decision lane-changing lateral displacement lateral force empirical model LiDAR LiDAR odometry LiDAR signal processing load transfer estimation localization loop closure detection Lyapunov method Markov decision process merging maneuvers millimeter wave radar millimeter-wave radar minimum safe deceleration mixed traffic mobile application model predictive controller monte carlo Monte Carlo localization multi-lane detection multi-layer perceptron multi-vehicle tracking multiple-target path planning nonlinear observer normalization object detection and tracking objects' edge detection occlusion reasoning off-road driving online obtaining parking slot tracking particle filter path planning percepction photometric calibration piecewise linear approximation point cloud segmentation portable system real-time monitoring real-time systems reinforcement learning risk assessment risk perception road detection road friction coefficient robot motion Sage-Husa algorithm scene segmentation scene understanding self-aligning torque self-driving car semantic segmentation sensing sensor and information fusion sensor fault sensor fusion sensors shadow detection shadow edge Siamese network signal restoration simulation results simulation test slip angle estimation smart regenerative braking softness factor sparse direct method square-root cubature Kalman filter stationary and moving object classification statistical process control stixel histograms accumulate target tracking tire model tire-road forces estimation tracking-by-detection traffic light detection traffic scene augmentation trajectory prediction transfer learning unscented Kalman filter vehicle model vehicle positioning vehicle speed prediction vehicular communications virtual test environment vision visual SLAM vulnerable road users |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112303321 |
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Fernández-Llorca David
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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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Machine Learning Methods with Noisy, Incomplete or Small Datasets
| Machine Learning Methods with Noisy, Incomplete or Small Datasets |
| Autore | Solé-Casals Jordi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
artificial intelligence
Artificial Neural Network auto-encoders binarization COVID19 data augmentation data science deep learning dengue digital-gap Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Discriminant Analysis educational data empirical mode decomposition episodic memory Extreme Learning Machines (ELM) feature elimination feature engineering feature extraction feature importance feature selection few-shot learning functional connectivity functional magnetic resonance imaging gender-gap graph model hierarchical clustering image generation imperfect dataset independent component analysis intelligent decision support Internet of Things (IoT) label correlations machine learning machine translation Markov Chain Monte Carlo (MCMC) multifrequency impedance neural network noise elimination noisy datasets non-negative matrix factorization ontology open contours optimization pairwise evaluation Parkinson's disease permutation-variable importance persistent entropy policy-making support prediction preprocessing recurrent neural network root canal measurement semi-supervised learning shadow detection shadow estimation similarly shaped fish species single sample per person small data-sets small datasets small sample learning smart building social vulnerability sound event detection space consistency sparse representations support-vector machine tensor completion tensor decomposition topological data analysis ultrasound images weighted interpolation map |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557324603321 |
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Solé-Casals Jordi
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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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Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
| Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio |
| Autore | Marcello Javier |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
very high-resolution Pléiades imagery
surface convergence data augmentation acquisition geometry SVM classification urban water mapping beaver dam analogue agriculture parcel segmentation morphological building index airborne hypespectral imagery sunglint correction water index over-segmentation index (OSI) High-resolution satellite imagery multi-resolution segmentation (MRS) GaoFen-2 (GF-2) benthic mapping scene classification greenhouse extraction edge constraint Deformable CNN built-up areas extraction ultra-dense connection seagrass beaver mimicry forested mountain natural hazards remote sensing dimensionality reduction techniques road extraction landslide monitoring Slumgullion landslide synthetic aperture radar building detection Worldview-2 saliency index under-segmentation index (USI) texture analysis fast marching method video satellite CNN capsule super-resolution feature distillation shadow detection PrimaryCaps semiautomatic compensation unit superpixels riparian QuickBird submesoscale linear unmixing accuracy assessment composite error index (CEI) cyanobacteria local feature points Faster R-CNN occluded object detection error index of total area (ETA) large displacements threshold stability remote sensing imagery water column correction canopy height model spiral eddy sub-pixel offset tracking consensus stream restoration western Baltic Sea Worldview very high-resolution image CapsNet atmospheric correction |
| ISBN |
9783039217571
3039217577 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747503321 |
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Marcello Javier
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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