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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Image and Video Processing and Recognition Based on Artificial Intelligence |
Autore | Park Kang Ryoung |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (431 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
emotion recognition
brain computer interface bag of deep features continuous wavelet transform face image analysis deep learning face parsing facial attributes classification building extraction convolutional neural networks mask R-CNN high-resolution remote sensing image autoencoders semi-supervised learning computer vision pathology epidermis skin image processing generative models generative adversarial net depth map super-resolution guidance residual network channel interaction pose estimation body orientation multi-person multi-task surface defect detection active learning generative adversarial network presentation attack detection artificial image generation presentation attack face images ultrasound image malignant thyroid nodule artificial intelligence weighted binary cross-entropy loss infrared circumferential scanning system target recognition deep convolutional neural networks data augmentation transfer learning bounding box regression loss function medical image fusion convolutional neural network image pyramid multi-scale decomposition armature surface inspection action recognition social robotics common spatial patterns vehicle recognition multi resolution network optimization semantic segmentation global context local context fully convolutional networks image-to-image conversion image de-raining label to photos edges to photos generative adversarial network (GAN) remote sensing helicopter footage crowd counting multitask learning normalized cross-correlation Marr wavelets entropy and response graph matching RANSAC GC–LSTM model typhoon satellite image prediction system monocular depth estimation feature distillation joint attention finger-vein recognition camera position finger position lighting unobserved database heterogeneous database domain adaptation cycle-consistent adversarial networks SDUMLA-HMT-DB HKPolyU-DB biometrics face recognition single-sample face recognition binarized statistical image features K-nearest neighbors sparse coding fast approximation homotopy iterative hard thresholding object recognition character recognition orthogonal polynomials orthogonal moments Krawtchouk polynomials Tchebichef polynomials support vector machine |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557371203321 |
Park Kang Ryoung
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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