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.
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1 |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
Shi Jiancheng
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
|
Shi Jiancheng
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Remote Sensing for Global Forest Monitoring
| Advances in Remote Sensing for Global Forest Monitoring |
| Autore | Tomppo Erkki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (352 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
forest structure change
EBLUP small area estimation multitemporal LiDAR and stand-level estimates forest cover Sentinel-1 Sentinel-2 data fusion machine-learning Germany South Africa temperate forest savanna classification Sentinel 2 land use land cover improved k-NN logistic regression random forest support vector machine statistical estimator IPCC good practice guidelines activity data emissions factor removals factor Picea crassifolia Kom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery remotely sensed LAI field measured LAI validation magnitude uncertainty temporal dynamics state space models forest disturbance mapping near real-time monitoring CUSUM NRT monitoring deforestation degradation tropical forest tropical peat forest type deep learning FCN8s CRFasRNN GF2 dual-FCN8s random forests error propagation bootstrapping Landsat LiDAR La Rioja forest area change data assessment uncertainty evaluation inconsistency forest monitoring drought time series satellite data Bowen ratio carbon flux boreal forest windstorm damage synthetic aperture radar C-band genetic algorithm multinomial logistic regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338103321 |
|
Tomppo Erkki
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Remote Sensing in Coastal Areas
| Applications of Remote Sensing in Coastal Areas |
| Autore | Topouzelis Konstantinos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
satellite remote sensing
Landsat coastline barrier island morphological change coastal ocean Photon-counting lidar MABEL land cover remote sensing signal photons ground settlement marine reclamation land time series InSAR Sentinel-1 Xiamen New Airport Pleiades photogrammetry LiDAR RTK-GPS beach topography cliff coastlines time-series analysis terrestrial laser scanner southern Baltic Sea non-parametric Bayesian network satellite-derived bathymetry hydrography CubeSats hypertemporal zones of confidence PlanetScope vegetation mapping dunes unmanned aerial system pixel-based classification object-based classification dune vegetation classification coastal monitoring multispectral satellite images multi-temporal NDVI pixels based supervised classification Random Forest harmonization shoreline mapping semi-global subpixel localization intensity integral error polarimetric SAR polarimetric decomposition ship detection Euclidean distance mutual information new feature Bohai sea ice sea ice extent OLCI imagery sea ice information index waterline extraction sub-pixel surface water mapping data cube contour extraction water extraction water indices thresholding Coastal process wind wake heat advection multi-sensor ASAR oceanic thermal response Hainan Island coastal remote sensing habitat mapping unmanned aerial vehicle (UAV) unmanned aircraft system (UAS) drone object-based image analysis (OBIA) UAS data acquisition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557555803321 |
|
Topouzelis Konstantinos
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Imaging Floods and Glacier Geohazards with Remote Sensing
| Imaging Floods and Glacier Geohazards with Remote Sensing |
| Autore | Cigna Francesca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
glacier surge
glacier collapse rock-slope instability hazard Landsat Sentinel 2 Tibet flood extent mapping supervised classification NDWI synthetic aperture radar (SAR) web application synthetic aperture radar offset tracking displacements Sentinel-1 glacier monitoring flood mapping damage assessment SAR image Landsat-8 Google Earth Engine GEE Bangladesh SAR intensity time series urban flood mapping double bounce effect Hurricane Matthew flood FPI GRACE terrestrial water storage anomaly storage deficit mass balance snow depth glacier retreat surface DEM elevation change Sentinel Secchi disk chlorophyll a sediments phytoplankton floods remote sensing GIS disaster mapping Lower Chenab Plain laserscanning UAV-structure from Motion multi-spectral satellite data synthetic Aperture Radar glacier lake evolution glacier river slope processes rock fall cryosphere fusion inundation probability Hurricane Harvey ADCIRC |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557770603321 |
|
Cigna Francesca
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Impacts of Anthropogenic Activities on Watersheds in a Changing Climate
| Impacts of Anthropogenic Activities on Watersheds in a Changing Climate |
| Autore | Pacheco Fernando A.L |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
flood vulnerability
land use conflicts water management soil conservation spatial multi-criteria analysis geographic information system water pollution riparian forest environmental Law anthropogenic catchment watershed management land use policy changes in hydrological components effects of human activities LUCC WRUBAP Yiluo River SWAT water balance components Land Use and Land Cover changes wildfires afforestation riparian buffer width landscape composition regression model interaction term Brazilian Forest Code farmland abandonment LULC changes climate change runoff/suspended sediment changes river morphology dynamics Italian Apennines water quality landscape metrics PLS-SEM scale season distance from pollution sources script files mean diurnal profile wavelet coherence groundwater recharge water resources management Conservative Use Potential river basin water balance lakes reservoirs Nenjiang watershed Landsat diurnal thermal profile urban tributaries wavelet covariance flow water discharge ecosystem services payments for environmental services land use |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557396903321 |
|
Pacheco Fernando A.L
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Institutions and Economics of Water Scarcity and Droughts
| Institutions and Economics of Water Scarcity and Droughts |
| Autore | Berbel Julio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (186 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Baiyangdian Lake
Landsat complex water extraction SMDPSO dynamic changes drought risk water supply risk irrigation insurance water use Spain drought water markets Western US hydro-economic modelling water policy climate change river basin management water scarcity water supply risk reduction risk curves cost-benefit analysis water management water rights water supply reliability irrigation agriculture allocation rules priority rights Po River Basin institutional economics climate change adaptation cost of adaptation water pricing water-use efficiency economic model inter-sectoral river basin good water practices tourist accommodation tourist Mediterranean water reuse reclaimed water SWOT analysis cluster analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557345303321 |
|
Berbel Julio
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Land Degradation Assessment with Earth Observation
| Land Degradation Assessment with Earth Observation |
| Autore | Symeonakis Elias |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (368 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
bfast
Mann-Kendall Sen's slope East Africa NDVI breakpoint analysis vegetation trends greening browning Kenya Uganda trend analysis land use land cover spatial heterogeneity mining development geographically weighted regression (GWR) arid and semi-arid areas salinization irrigated systems Niger River basin salinity index vegetation index TI-NDVI Sentinel-2 images high temporal resolution wind erosion modeling RWEQ GEE central Asia spatial-temporal variation land degradation archetypes self-organizing maps drivers savannah Nigeria reference levels REDD+ greenhouse gas emissions Xishuangbanna monitoring and reporting Normalised Difference Vegetation Index (NDVI) Vegetation Condition Index (VCI) drought land use-land cover remote sensing Botswana developing countries Google Earth Engine Landsat time series analysis semi-arid areas sustainable land management programmes precipitation breakpoints and timeseries analysis ecosystem structural change BFAST land degradation neutrality SDG land productivity Landsat vegetation-precipitation relationship soil organic carbon Kobresia pygmaea community unmanned aerial vehicle Gaofen satellite spatial distribution aridity index satellite-based aridity index remote sensing index salinized land degradation index (SDI) Amu Darya delta (ADD) satellite imagery gully mapping machine learning random forest support vector machines South Africa semi-arid environment shrub encroachment slangbos Earth observation time series Sentinel-1 Sentinel-2 Synthetic Aperture Radar (SAR) Soil Adjusted Vegetation Index (SAVI) Kyrgyzstan pastures MODIS land surface phenology drought impacts drought adaptation drought index vegetation resilience drought vulnerability standardized precipitation evapotranspiration index AVHRR |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873503321 |
|
Symeonakis Elias
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning to Understand Remote Sensing Images . Volume 2
| Learning to Understand Remote Sensing Images . Volume 2 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-699-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-685-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
