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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 online resource (632 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
90° yaw imaging
adaptive window Africa agroforestry AHS airborne laser scanning algebraic multigrid methods anomaly detection AVIRIS band expansion process (BEP) band grouping band selection band selection (BS) band subset selection (BSS) biodiversity class imbalance classification composite kernel constrained energy minimization constrained energy minimization (CEM) correlation band expansion process (CBEP) data fusion data integration data unmixing data-guided constraints deep belief networks deep learning deep pipelined background statistics Dunhuang site endmember extraction ensemble learning evenness fire severity Gram-Schmidt orthogonalization graph hashing ensemble hierarchical feature high-level synthesis HyMap hyperspectral hyperspectral classification hyperspectral compression hyperspectral detection hyperspectral image hyperspectral image (HSI) hyperspectral image classification hyperspectral imagery hyperspectral images (HSIs) hyperspectral imaging hyperspectral pansharpening hyperspectral unmixing image enhancement image fusion imaging spectroscopy in situ measurements intrinsic image decomposition irradiance-based method iterative algorithm iterative CEM (ICEM) KSVD label propagation linearly constrained minimum variance (LCMV) local abundance local summation RX detector (LS-RXD) lossy compression machine learning mineral mapping minimum noise fraction multiscale spatial information multiscale union regions adaptive sparse representation (MURASR) nonlinear band expansion (NBE) nonnegative matrix factorization nuclear norm on-board compression optical spectral region orthogonal projections Otsu's method panchromatic panchromatic image parallel processing peatland progressive sample processing (PSP) prototype space raw material real-time processing recursive anomaly detection reflectance-based method remote sensing rolling guidance filtering (RGF) rotation forest semi-supervised learning semi-supervised local discriminant analysis sequential LCMV-BSS (SQ LCMV-BSS) sliding window sparse coding sparse unmixing sparseness spectral mixture analysis spectral variability spectral-spatial classification sprout detection structure tensor successive LCMV-BSS (SC LCMV-BSS) superpixel SVM target detection terrestrial hyperspectral imaging texture feature enhancement thermal infrared spectral region tree species tree-based ensemble vegetation type vicarious calibration vineyard water stress weighted fusion weighted least squares filter |
| 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 / Donald Bailey
| Image Processing Using FPGAs / Donald Bailey |
| Autore | Bailey Donald |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto topico | Information technology industries |
| 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 |
9783038979197
3038979198 |
| 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 online resource (188 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
2D graphics accelerator
alpha-blending anti-aliasing artificial intelligence block-based neural network Bresenham's algorithm cloud computing code refactoring collaborative filtering Contiki-NG deep learning dynamic and partial reconfiguration edge computing embedded edge computing embedded system embedded systems evolutionary algorithm extreme edge field-programmable gate array flexible fog computing FPGA Gaussian process hardware acceleration hardware design harsh environment high-level synthesis HLS internet of things deployment IoT gateway IoT security line-drawing LoRa low latency low power consumption Movidius VPU neural network neuroevolution neuromorphic processor parallelism performance estimation power consumption quantisation recommender systems reconfigurable hardware reinforcement learning scalability SDSoC smart port support vector machines SVM trustability WiFi ZedBoard Zynq |
| 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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