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segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing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 | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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UAV Photogrammetry and Remote Sensing |
Autore | Carvajal-Ramírez Fernando |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (257 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
unmanned aerial vehicle
urban LULC GEOBIA multiscale classification unmanned aircraft system (UAS) deep learning super-resolution (SR) convolutional neural network (CNN) generative adversarial network (GAN) structure-from-motion photogrammetry remote sensing UAV 3D-model surveying vertical wall snow remotely piloted aircraft systems structure from motion lidar forests orthophotography construction planning sustainable construction urbanism BIM building maintenance unmanned aerial vehicle (UAV) structure-from-motion (SfM) ground control points (GCP) accuracy assessment point clouds corridor mapping UAV photogrammetry terrain modeling vegetation removal unmanned aerial vehicles power lines image-based reconstruction 3D reconstruction unmanned aerial systems time series accuracy reproducibility orthomosaic validation drone GNSS RTK precision elevation multispectral imaging vegetation indices nutritional analysis correlation optimal harvest time UAV images monoscopic mapping stereoscopic plotting image overlap optimal image selection |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557781303321 |
Carvajal-Ramírez Fernando | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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