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Hyperspectral Imaging and Applications
| Hyperspectral Imaging and Applications |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (632 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Processing and Analysis for Preclinical and Clinical Applications
| Image Processing and Analysis for Preclinical and Clinical Applications |
| Autore | Stefano Alessandro |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
deep learning
segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate's method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595073603321 |
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Stefano Alessandro
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Processing Using FPGAs
| Image Processing Using FPGAs |
| Autore | Bailey Donald |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto non controllato |
nuclei detection
System-on-Chip FPGA K-Means hardware acceleration image analysis perceptual coding line buffer heterogeneous computing window filters processor architectures hardware accelerators stream processing embedded systems image processing pipeline image processing generalized Laplacian of Gaussian filter background estimation real-time systems FPGA implementation hardware architecture compression image borders memory zig-zag scan histopathology just-noticeable difference (JND) memory management downsampling image segmentation feature extraction design mean Shift clustering high-throughput segmentation streaming architecture power D-SWIM hardware/software co-design high-level synthesis contrast masking texture detection pipeline field programmable gate array (FPGA) JPEG-LS low-latency connected components analysis luminance masking field programmable gate arrays (FPGA) |
| ISBN | 3-03897-919-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346693003321 |
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Bailey Donald
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Embedded Computing, Intelligence and Applications
| Recent Advances in Embedded Computing, Intelligence and Applications |
| Autore | Portilla Jorge |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (188 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
high-level synthesis
HLS SDSoC support vector machines SVM code refactoring Zynq ZedBoard extreme edge embedded edge computing internet of things deployment hardware design IoT security Contiki-NG trustability embedded systems collaborative filtering recommender systems parallelism reconfigurable hardware neuroevolution block-based neural network dynamic and partial reconfiguration scalability reinforcement learning embedded system artificial intelligence hardware acceleration neuromorphic processor power consumption harsh environment fog computing edge computing cloud computing IoT gateway LoRa WiFi low power consumption low latency flexible smart port quantisation evolutionary algorithm neural network FPGA Movidius VPU 2D graphics accelerator line-drawing Bresenham’s algorithm alpha-blending anti-aliasing field-programmable gate array deep learning performance estimation Gaussian process |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576881603321 |
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Portilla Jorge
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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