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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Nighttime Lights as a Proxy for Economic Performance of Regions
| Nighttime Lights as a Proxy for Economic Performance of Regions |
| Autore | Rybnikova Nataliya |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (196 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
arbitrary area representation
artificial light-at-night (ALAN) attention-augmented CNN boundaries Chongqing cross-sectional daytime satellite imagery DMSP DMSP-OLS economic inequality economic statistics education inequality fine-grained GDP estimation functional urban areas (FUAs) GDP human development intra-urban scaling Iran JCPOA kernel density estimation Luojia 1-01 Luojia 1-01 satellite MNUACI multiple regression modelling n/a nightlight nighttime light nighttime light emissions nighttime lights NPP-VIIRS optimal threshold population density population reorganization sanctions searching radius threshold shadow economy spatial measurement spatial resolution spatiotemporal patterns street nodes sustainable development time-series urban area urban built-up area urban hotspot delineation urban remote sensing urbanization VIIRS VIIRS imagery Zipf's law |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566458703321 |
Rybnikova Nataliya
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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