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 | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
Autore | Kavzoglu Taskin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (256 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
convolutional neural network
image segmentation multi-scale feature fusion semantic features Gaofen 6 aerial images land-use Tai’an convolutional neural networks (CNNs) feature fusion ship detection optical remote sensing images end-to-end detection transfer learning remote sensing single shot multi-box detector (SSD) You Look Only Once-v3 (YOLO-v3) Faster RCNN statistical features Gaofen-2 imagery winter wheat post-processing spatial distribution Feicheng China light detection and ranging LiDAR deep learning convolutional neural networks CNNs mask regional-convolutional neural networks mask R-CNN digital terrain analysis resource extraction hyperspectral image classification few-shot learning quadruplet loss dense network dilated convolutional network artificial neural networks classification superstructure optimization mixed-inter nonlinear programming hyperspectral images super-resolution SRGAN model generalization image downscaling mixed forest multi-label segmentation semantic segmentation unmanned aerial vehicles classification ensemble machine learning Sentinel-2 geographic information system (GIS) earth observation on-board microsat mission nanosat AI on the edge CNN |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557148403321 |
Kavzoglu Taskin | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Membrane and Membrane Reactors Operations in Chemical Engineering |
Autore | Iulianelli Adolfo |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (154 p.) |
Soggetto non controllato |
membrane configuration
solar energy modeling gas/liquid separation wastewater treatment membrane distillation hydrogel composite membranes on-board hydrogen hydrogen production ethanol multivariate analysis membrane engineering micro channel two-phase flow advanced separations water splitting micro direct methanol fuel cell (µDMFC) ultrafiltration (UF) palladium ionic liquids membranes photocatalysis fouling renewable heat sources micro contactor porous membranes desalination clarification separator steam reforming membrane reactor methane photocatalytic membrane reactor Z-scheme orange press liquor CO2 conversion microfiltration (MF) Pd-based membrane |
ISBN | 3-03921-023-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346671603321 |
Iulianelli Adolfo | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Vessel Detection and Navigation |
Autore | Heiselberg Henning |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
autonomous navigation
automatic radar plotting aid safe objects control game theory computer simulation Sentinel-2 multispectral temporal offsets ship aircraft velocity altitude parallax jet stream Unmanned Surface Vessel (USV) multi-Global Navigation Satellite System (GNSS) receiver bathymetric measurements cross track error (XTE) SSL six-degrees-of-freedom motion motion attitude model edge detection straight-line fitting visual saliency vessel detection video monitoring inland waterway real-time detection neural network target recognition HRRP residual structure loss function trajectory tracking unmanned surface vehicle navigation bathymetry hydrographic survey real-time communication maritime situational awareness ship detection Iridium on-board image processing flight campaign position estimation ranging mode single shore station AIS bag-of-words mechanism machine learning image analysis ship classification marine system river monitoring system feature extraction synthetic aperture radar (SAR) ship detection multi-stage rotational region based network (MSR2N) rotated anchor generation multi-stage rotational detection network (MSRDN) convolutional neural network (CNN) synthetic aperture radar (SAR) multiscale and small ship detection complex background false alarm farbon dioxide peaks midwave infrared FTIR adaptive stochastic resonance (ASR) matched intrawell response nonlinear filter line enhancer autonomous underwater vehicles (AUVs) target tracking group targets GLMB structure formation remote sensing |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557112803321 |
Heiselberg Henning | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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