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Advances in Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (434 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
air temperature
anomaly detection atmospheric transmittance attention mechanism band selection band selection (BS) boundary-aware constraint carbon dioxide absorption change detection channel augmented attention classification coffee beans color formation models constrained energy minimization (CEM) constrained sparse representation constrained-target optimal index factor band selection (CTOIFBS) constraint representation convolutional neural network data augmentation data fusion deep convolutional neural networks deep learning denoising emissivity evolutionary computation FTIR fused features generative adversarial network heuristic algorithms hyperspectral hyperspectral image hyperspectral image classification hyperspectral image few-shot classification hyperspectral image super-resolution hyperspectral imagery hyperspectral imagery classification hyperspectral images hyperspectral imaging hyperspectral imaging (HSI) hyperspectral imaging data hyperspectral reconstruction hyperspectral remote sensing hyperspectral target detection hyperspectral unmixing image classification image fusion insect damage joint tensor decomposition least square estimation lightweight convolutional neural networks machine learning meta-learning midwave infrared mine environment moving target detection multi-source image fusion multiscale decision fusion multispectral image MWIR nonlinear unmixing plug-and-play relation network residual augmented attentional u-shape network rice rice leaf blast rice leaf folder self-supervised learning self-supervised training separation SFIM spatial augmented attention spatial filter spatial measurement spatio-temporal processing spectral reconstruction spectral-spatial residual network superpixel segmentation target detection temperature transfer learning underwater hyperspectral target detection underwater spectral imaging system unmanned aerial vehicles (UAVs) upland swamps vegetation vegetation mapping visualization |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
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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AI Applications to Power Systems
| AI Applications to Power Systems |
| Autore | Tjing Lie Tek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (156 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial neural networks
automatic P2P energy trading cellular computational networks change detection contingency data analytics data mining deep Q-network deep reinforcement learning dynamic mode decomposition event detection feature extraction filtering fuzzy system inter-area oscillations load flow prediction long short-term delayed reward machine learning machine-learning manta ray foraging optimization algorithm Markov decision process modal analysis multi-objective function n/a optimal power flow optimization optimization techniques power quality radial networks reduced order modeling self-healing grid signal processing situation awareness steady-state security assessment total variation smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478903321 |
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Tjing Lie Tek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
| Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS |
| Autore | Lee Chang-Wook |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
artificial intelligence
boosted tree change detection deep learning DInSAR DPM method earth observation ensemble models GIS groundwater potential Jakarta land subsidence land subsidence susceptibility mapping machine learning Monte Carlo simulation Monterrey Metropolitan Area Mt. Umyeon landslides neural networks physical slope model probabilistic method prototype selection remote sensing river pollution seismic literacy seismic vulnerability map Sentinel-1 Seoul space data science specific capacity StaMPS processing supervised classification sustainable development synthetic aperture radar time-series time-series InSAR transfer learning urban open spaces urban vegetation WSN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557605403321 |
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Lee Chang-Wook
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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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Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (458 p.) |
| Soggetto non controllato |
1D-convolutional neural network
3D segmentation active surface ARMD artificial intelligence autism bayesian inference black box brain tumor breast cancer cancer cancer prediction cervical cancer change detection classifiers colon cancer computation computed tomography (CT) computer vision computers in medicine convolutional neural network convolutional neural networks COVID-19 CycleGAN data augmentation deep learning deep learning classification dermoscopic images diagnosis diagnostics digital pathology discriminant analysis domain adaptation domain transfer ECG signal detection egocentric camera explainability explainable AI fMRI gibbs sampling glcm matrix HER2 image classification image processing image reconstruction imaging infection detection interpretable/explainable machine learning low-dose lung cancer lung disease detection machine learning machine learning models macroscopic images magnetic resonance imaging (MRI) MCMC medical image analysis medical image segmentation medical images medical imaging melanoma meta-learning microwave breast imaging MRI multimodal learning multiple instance learning musculoskeletal images n/a neo-adjuvant treatment object detection open surgery optimizers PET imaging portable monitoring devices quantitative comparison segmentation shifted-scaled dirichlet distribution skin lesion segmentation sparse-angle surgical tools taxonomy texture analysis transfer learning tumor detection tumour cellularity U-Net unsupervised learning white box whole slide image processing X-ray images XAI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
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Zhang Yudong
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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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Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications
| Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications |
| Autore | Pirotti Francesco |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D reconstruction
artificial neural network Beirut camera calibration change detection computer vision Copernicus damage proxy map deep learning dense image matching dense image matching (DIM) dense point cloud digital elevation model dome effect enhancement explosion geometric error GNSS-assisted block orientation high-precision calibration image histogram image processing InSAR isolated objects Lebanon mesh model modeling Monte Carlo simulation multiple view stereo (MVS) n/a natural disasters noise estimation optical flow estimation optical remote sensing image photogrammetry point cloud point clouds preprocessing radiometric calibration roughness sample optimization Sentinel-1 Sentinel-2 soil moisture content Structure from Motion (SfM) surface reconstruction synthetic aperture radar threshold selection UAV VHR tri-stereo satellite imagery visibility constraints volumetric methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Innovations in Photogrammetry and Remote Sensing |
| Record Nr. | UNINA-9910576883503321 |
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Pirotti Francesco
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integrated Applications of Geo-Information in Environmental Monitoring
| Integrated Applications of Geo-Information in Environmental Monitoring |
| Autore | Wu Weicheng |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
earthquake
damaged groups of buildings classification remote sensing images Convolution Neural Network (CNN) block vector data shoreline change landsat planet scope coastline morphological changes building extraction improved anchor-free instance segmentation high-resolution remote sensing images deep learning land use/land cover (LULC) GF-6 WFV object-oriented change detection double constraints REE mines mining and restoration assessment indicators (MRAIs) damage time trajectory effectiveness of management aeolian process desertification multi-sensor fusion interferometric SAR time-series analysis mussel farming high-resolution image transitional water management environmental pollution open source software synthetic aperture radar (SAR) target sea surface multiple scattering geo-hazard mapping Gaofen-1 satellite land cover environmental factors susceptibility post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
| ISBN | 3-0365-5756-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782003321 |
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Wu Weicheng
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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 Processing on Image and Optical Information
| Intelligent Processing on Image and Optical Information |
| Autore | Yeom Seokwon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ADAM
adaptive mean-shift autofocus background-oriented schlieren biomedical imaging block compressed sensing bone fracture boundary point calcaneus change detection classifier cluster validity index clustering algorithm clustering evaluation continuous casting slabs convolutional neural network CT image database augmentation deep learning deep neural network defect detection digital image correlation discrete non-separable shearlet transform dominant spectral wavelength Dongting Lake ego-motion estimation error resilience extraction face registration facial image feature extraction feature selection fermentation monitoring Gabor filter GAN (Generative adversarial networks) generation generative models gray-level co-occurrence matrix hand-eye calibration healthy and infected lemons heat waves Hermite high-temperature measurement hybrid ant lion optimizer Hyperspectral image image completion image fusion image interpolation image processing image up-scaling IMU inner-distance interior point kernel spectral regression lemon skin lidar odometry machine learning microscopy image analysis microscopy image processing multi-sensor n/a night vision goggles NSCT numerical optimization optical sensor parameter optimization Penicillium digitatum pathogen process automation quality inspection radiographic image reconstruction segmentation sensor fusion sparse and low-rank matrix decomposition spectral intensity ratio stochastic gradient methods structure similarity Student's-t Mixtures Model superellipsoid model fitting surface defect classification synthesis tensor decomposition models texture classification thermal disturbance variogram function wildlife monitoring image wireless multimedia sensor networks zebrafish egg zebrafish larva |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104903321 |
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Yeom Seokwon
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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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Land Surface Monitoring Based on Satellite Imagery
| Land Surface Monitoring Based on Satellite Imagery |
| Autore | Venafra Sara |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (232 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
Sentinel-2
spectral bands LAI vegetation indices Sentinel-1 SAR RVI incidence angle crop coefficient leaf area index urban heat island UHI regional impacts non-urban areas remote sensing thermal band UHI intensity remote sensing/GIS spatial dynamics landscape metrics urban–rural gradient urbanization automatic monitoring time series change detection urban planning hyperspectral cacti drone climate change drought water deficit index infrared observations satellite surface temperature air temperature humidity dew point temperature land subsidence DInSAR differential interferograms stacking floods coastal plain of Tabasco crop residue fusion machine learning algorithm reflective and radar bands land-cover change REDD+ Google Earth Engine random forest landsat Togo emissivity evapotranspiration heterogeneity Rao’s Q index spectral variation hypothesis thermal infrared |
| ISBN | 3-0365-5930-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639991903321 |
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Venafra Sara
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee |
| Autore | Jung Hyung-Sup |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto topico | Pharmaceutical chemistry and technology |
| Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
| ISBN |
9783039212163
3039212168 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Jung Hyung-Sup
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Operationalization of Remote Sensing Solutions for Sustainable Forest Management
| Operationalization of Remote Sensing Solutions for Sustainable Forest Management |
| Autore | Mozgeris Gintautas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (296 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
accuracy assessment
airborne laser scanning analytic hierarchy process anthropogenic Artic bark beetle bark beetle infestation beech-fir forests canopy gaps canopy openings percentage change detection damage mapping deep learning deforestation depletion DEM DJI drone earth observations efficiency Elastic Net forest canopy forest classification forest damage forest disturbance forest inventory forest management forest mask forest monitoring forest road inventory forested catchment forestry GIS global navigation satellite system gray level cooccurrence matrix (GLCM) growing stock volume harmonic regression hydrological modeling Ips typographus L. Landsat landsat time series Large Scale Mean-Shift Segmentation (LSMS) machine learning mangrove mangrove sustainability MaxENT multi-scale analysis multi-temporal regression multispectral imagery n/a national forest inventory natural water balance pest phenology modelling Phoracantha spp pixel-based supervised classification point cloud positional accuracy precision density principal component analysis (PCA) probability sampling random forest Random Forest (RF) remote sensing replanting restoration risk modeling satellite imagery satellite indices Sentinel-2 Siberia Southeast Asia spruce stand volume support vector machine SWAT model thresholding analysis time series analysis total station UAV unmanned aerial vehicle (UAV) validation vegetation index wildfires WorldView-3 Yakutia |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584103321 |
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Mozgeris Gintautas
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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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