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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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 electronic resource (218 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
hyperspectral
topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
Autore | Kisi Ozgur |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
groundwater
artificial intelligence hydrologic model groundwater level prediction machine learning principal component analysis spatiotemporal variation uncertainty analysis hydroinformatics support vector machine big data artificial neural network nitrogen compound nitrogen prediction prediction models neural network non-linear modeling PACF WANN SVM-LF SVM-RF Govindpur streamflow forecasting Bayesian model averaging multivariate adaptive regression spline M5 model tree Kernel extreme learning machines South Korea uncertainty sustainability prediction intervals ungauged basin streamflow simulation satellite precipitation atmospheric reanalysis ensemble modeling additive regression bagging dagging random subspace rotation forest flood routing Muskingum method extension principle calibration fuzzy sets and systems particle swarm optimization EEFlux irrigation performance CWP water conservation NDVI water resources Daymet V3 Google Earth Engine improved extreme learning machine (IELM) sensitivity analysis shortwave radiation flux density sustainable development |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557448103321 |
Kisi Ozgur
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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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Recent Advances in Geographic Information System for Earth Sciences |
Autore | Choi Yosoon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (264 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
mine safety
GIS-coupled spatiotemporal model LBM methane gas emission traffic flows taxi trajectory float cars spatial community transport system land use multi-functionality production-living-ecology function spatiotemporal dynamics obstacle factors Xiangxi DEM grid cell size efficiency mountainous watersheds optimized parameter set TOPMODEL social media rainstorm event spatiotemporal analysis factor assessing parallel algorithm map overlay analysis Hilbert ordering decomposition spatial analysis GIS vector map data GIS vector map security selective encryption simplification method and cryptography geo-sensor framework geo-sensor platform (GIS) sensor networks do-it-yourself (DIY) landslide susceptibility mapping ensemble techniques functional trees bagging rotation forest dagging algorithm cognition computer languages eye-tracking measurement gaze tracking human-computer interaction open source software symbols visualisation Geographic information systems mine planning mine development mine operation environmental management mine reclamation Indian Himalayas landslides GIS remote sensing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557575203321 |
Choi Yosoon
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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