Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 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 | ||
| ||
Phytophthora Infestations in Forest Ecosystems
| Phytophthora Infestations in Forest Ecosystems |
| Autore | Scanu Bruno |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (216 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Ecological science, the Biosphere |
| Soggetto non controllato |
soilborne pathogens
pathways Populus Phytophthora plurivora Phytophthora pini pathogenicity tests biomass allocation dehesas drought montados oak decline plant traits root rot invasive species natural ecosystems streams vegetation type baiting ITS region leaf decay oomycetes aquatic fungi trophic specialization saprotroph pathogen parasite Phytophthora diversity wild apple forest decline forest disease monitoring holm oak decline biosecurity breeding systems hybridization Phytophthora cinnamomi biogeography center of origin GLMM tree mortality plantation open forests Phytophthora ×cambivora bark canker ectomycorrhiza cork oak |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557373703321 |
|
Scanu Bruno
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing of Savannas and Woodlands
| Remote Sensing of Savannas and Woodlands |
| Autore | Hill Michael J |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Savanna
alternative stable states MODIS VCF land surface temperature albedo Cerrado Amazon vegetation type optical sar synergism mapping savanna post oak vegetation index ecosystem function phenology encroachment evergreen deciduous vegetation grassland fractional cover trend ecoregion bare soil livestock production systems remote sensing vegetation dynamics vegetation persistence conservation savannas Africa vegetation indices oak-grass savanna hydrology Sentinel-2 land cover grasslands forests monitoring random forest spectral indexes vegetation seasonality aboveground biomass Cerrado ecosystem SAR allometry biomass carbon cost-effective LiDAR TLS plant water availability tree phenology phenocams MODIS terrestrial laser scanning (TLS) Above Ground Biomass (AGB) 3D point cloud vegetation structure |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426603321 |
|
Hill Michael J
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||