ASTER 20th Anniversary |
Autore | Abrams Michael J |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (284 p.) |
Soggetto non controllato |
emissivity
vicarious calibration digital elevation model optical sensor loess Terra ASTER land-surface temperature lithological mapping sediment transport pathways Mosaic validation thermal infrared Terra MODIS True Color imagery ASTER multispectral data fluvial water body detection morphology MOD35 lunar calibration cloud coverage volcanic processes Wudalianchi volcano Ming Dynasty Artificial Neural Network permafrost ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) stereo erosion Mako geologic mapping Algodones future concepts 3D perspective view observation scheduler earthen Great Wall thermal infrared data lithology mineral exploration VNIR cloud mask cloud avoidance aeolian phase change mission operations temperature global database zero curtain effect image archive mineral system deposition DEM MODIS success rate uncertain flag TES algorithm ASTER instrument radiometric calibration mineral mapping atmospheric correction TIR |
ISBN | 3-03928-685-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404090603321 |
Abrams Michael J | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
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 | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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