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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Remote Sensing Data Compression |
Autore | Lukin Vladimir |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (366 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
on-board data compression
CCSDS 123.0-B-2 near-lossless hyperspectral image compression hyperspectral image coding graph filterbanks integer-to-integer transforms graph signal processing compact data structure quadtree k2-tree k2-raster DACs 3D-CALIC M-CALIC hyperspectral images fully convolutional network semantic segmentation spectral image tensor decomposition HEVC intra coding JPEG 2000 high bit-depth compression multispectral satellite images crop classification Landsat-8 Sentinel-2 Elias codes Simple9 Simple16 PForDelta Rice codes hyperspectral scenes hyperspectral image lossy compression real time FPGA PCA JPEG2000 EBCOT multispectral hyperspectral CCSDS FAPEC data compression transform hyperspectral imaging on-board processing GPU real-time performance UAV parallel computing remote sensing image quality image classification visual quality metrics spectral–spatial feature multispectral image compression partitioned extraction group convolution rate-distortion compressed sensing invertible projection coupled dictionary singular value task-driven learning on board compression transform coding learned compression neural networks variational autoencoder complexity real-time compression on-board compression real-time transmission UAVs compressive sensing synthetic aperture sonar underwater sonar imaging remote sensing data compression lossless compression compression impact computational complexity |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557383103321 |
Lukin Vladimir
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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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Symmetric and Asymmetric Data in Solution Models |
Autore | Kazimieras Zavadskas Edmundas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (359 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
COVID-19
criteria importance through inter-criteria correlation (CRITIC) combined compromise solution (CoCoSo) gray values temporary hospital location selection ARAS interval-valued triangular fuzzy numbers e-learning courses MCDM neutrosophic sets quadripartitioned bipolar neutrosophic sets similarity measure decision making multiple-criteria decision-making neutrosophic single-valued neutrosophic sets TOPSIS Hamming distance Euclidean distance e-commerce development strategies Symmetry bibliometric analysis Web of Science co-citation burst detection analysis supply chain DANP-mV model performance analysis asymmetric underactuated rehabilitation robotic exoskeleton symmetric and asymmetric trajectory Bowden cable video processing data EOQ Wilson’s formulation lot size reordering time visual analogue scales (VAS) criteria weighting matrix question survey WASPAS-SVNS entropy direct rating rehabilitation device electromyogram symmetry window parameters feature extraction pattern recognition sensitivity analysis reliability failure probability quantile civil engineering limit states mathematical model uncertainty cost overrun construction project fuzzy sets earned value management (EVM) artificial neural networks (ANNs) multiple regression analysis road industry buckling safety superquantile subquantile aerial imagery lossy compression qualitative evaluation WASPAS neutrosophic set Analytic Hierarchy Process fuzzy Analytic Hierarchy Process symmetric and asymmetric fuzzy numbers stability landscape micro factor macro factor real estate market Big Data analysis Big Data land price R and Python land Big Data symmetric data asymmetric data solution models |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557693203321 |
Kazimieras Zavadskas Edmundas
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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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