Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
| Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| Autore | Vohland Michael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (218 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
antarctica
atmospheric correction bio-optical algorithm biomass chlorophyll a chlorophyll-a close-range hyperspectral imaging colored dissolved organic matter convolutional neural network electromagnetic induction field hyperspectral measurement fine-scale georectification hyperspectral Hyperspectral image hyperspectral imager hyperspectral imaging ice algae in situ measurements instrument development long-distance long-range Maarmorilik machine learning mangrove species classification mineral mapping minimum wavelength mapping mosaicking multiple classifier fusion n/a photogrammetry phycocyanin push-broom radiometric correction random forest random forest regression receiver Riotinto rotation forest sea ice snapshot hyperspectral imaging soil soil salinity spectroradiometry structure from motion Structure from Motion (SfM) telescope topographic correction tree species UAV under-ice underwater unmanned aerial vehicle vertical distribution water column waveband selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557368003321 |
Vohland Michael
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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 |
Yeom Seokwon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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