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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
| ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications |
| Autore | Tadono Takeo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
Sentinel-1
ALOS/PALSAR-2 land subsidence accuracy assessment Alexandria City Egypt local climate zone random forest feature importance land surface temperature grid cells Sentinel-2 PALSAR-2 ASTER soil moisture ALOS-2 GA-BP water cloud model L-band SAR backscattering soil moisture content LAI HH and HV polarization flood NoBADI Florida Hurricane Irma synthetic aperture radar polarimetric radar co-polarized phase difference radar scattering vegetation radar applications agriculture leaf area index leave-one-out cross-validation oil palm radar vegetation index vegetation descriptors ecosystem carbon cycle L-band SAR vegetation index random forest regression plantation permafrost InSAR Qinghai-Tibet Plateau ALOS thermal melting collapse Sentinel-1A SBAS-InSAR heavy forest area potential landslide identification SAR-based landslide detection Growing Split-Based Approach (GSBA) Hokkaido landslide Putanpunas landslide SAR polarimetry model-free 3-component decomposition for full polarimetric data (MF3CF) radar polarimetry calibration Faraday rotation |
| ISBN | 3-0365-6105-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639994803321 |
Tadono Takeo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
artificial neural networks
Baltic area climate cloud cloud coverage cloud detection coastal wind measurements coastline computational design method convection CSP plants data processing digitized image processing electrical resistivity tomography extreme value analysis feature engineering feature importance forecasting geophysical prospecting geothermal energy GES-CAL software global radiation graphical user interface software Hazaki Oceanographical Research Station hydropower reservoir image processing lake breeze influence light gradient boosting machine machine learning machine learning techniques metaheuristic multistep-ahead prediction parameter extraction passive design strategy photovoltaic power plant plan position indicator point cloud data potential well field location remote sensing remote sensing data acquisition renewable energy resource assessment and forecasting satellite scanning LiDAR scatterometer shading envelopes sky camera smart island solar energy solar energy resource solar irradiance enhancement solar irradiance estimation solar irradiance forecasting solar photovoltaic solar radiation forecasting statistical analysis surface solar radiation time domain electromagnetic method total sky imagery velocity volume processing voxel-design approach whale optimization algorithm wind speed |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
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Martins Fernando Ramos
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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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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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