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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
CIELab
component Substitution Pan sharpening Pléiades VHR Image coal inertinite macerals classification multifractal analysis support vector machine block-based coding video coding H.265/HEVC affine motion compensation image registration homography matrix local homography transformation convolutional neural network moving direct linear transformation super-resolution (SR) convolution neural network (CNN) Gene Expression Programming (GEP) deep learning image preclassification suspicious behavior detection motion magnitude gradient reactivity saliency haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy sparse dictionary stable recovery frame RIP local dimming retinex theory bi-histogram equalization contrast ratio details preservation pansharpening image fusion image quality Satellite Pour l'Observation de la Terre (SPOT) 6 spectral consistency spatial consistency synthesis artificial intelligence dental application images detection parseval frame transform sparse representation octave convolution bilingual scene text reading Ethiopic script attention nasal cytology automatic cell segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing tradeoff process IKONOS remote sensing fine-tuning learning rate scheduler cyclical learning rates label smoothing classification accuracy neural networks salient object detection RGB-D object detection small object multi-scale sampling balanced sampling texture structure optical coke iron ore sinter image processing segmentation identification action recognition silhouette sequences shape features ambient assisted living active ageing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geoinformatics in Citizen Science
| Geoinformatics in Citizen Science |
| Autore | Bordogna Gloria |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto non controllato |
education
geoinformatics GIS education classification accuracy latent class analysis location-based social networks (LBSNs) geoinformation in citizen science toponym recruitment community mapping user preference land administration systems positional accuracy sample size spatial proximity crowdsourced geoinformation collection and analysis air quality estimation digital cartography crowdsourcing VGI in citizen science crowdsourced data collection social relationship effect analysis GIS data quality opportunistic data volunteer volunteered geographic information (VGI) VGI data fusion algorithms OpenStreetMap volunteer geographic information citizen science ensemble spatial bias projects survey Alaska marine mammal brown marmorated stink bug social media Environmental niche modeling data analysis Pentatomidae QGIS MaxEnt spatial accuracy clustering air pollution data import sky images |
| ISBN | 3-03921-073-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346690703321 |
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Bordogna Gloria
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||