Keywords: داده های بیش از حد; Aflatoxin; Peanut; Hyperspectral data; Key wavelength; Sorter design;
مقالات ISI داده های بیش از حد (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: داده های بیش از حد; Data field modeling; Feature extraction; Hyperspectral data; Spectral-spatial; Target detection;
Keywords: داده های بیش از حد; Classification; Error Coding Output Codes; Belief Function Theory; Hyperspectral data;
Keywords: داده های بیش از حد; Burn severity; Species-specific post-fire responses; Fire adaptive strategies; WorldView-2; Vegetation classification; Hyperspectral data; Forest composition and structure;
Keywords: داده های بیش از حد; Mining; Toxicity; GIS; Hyperspectral data; Sinapis alba;
Keywords: داده های بیش از حد; Digital soil mapping; Remote sensing; Hyperspectral data; Kriging; Cross validation; Soil map; Soil properties;
Keywords: داده های بیش از حد; Hyperspectral data; Urban; Outdoor lighting; Light pollution; Urban health; Urban planning;
Keywords: داده های بیش از حد; ALS; Hyperspectral data; Individual tree crowns; Biophysical attribute prediction; Site index; Forestry; Fusion; Remote sensing;
Keywords: داده های بیش از حد; Atmospheric correction; Hyperspectral data; Radiance; Reflectance; FLAASH; QUAC;
Keywords: داده های بیش از حد; Spectral indices; Chlorophyll content; Semi-arid grasslands; Multispectral data; Hyperspectral data;
Keywords: داده های بیش از حد; Hyperspectral data; Non-negative sparse representation; Semi-supervised learning; Dimensionality reduction; Discriminant term; Regularization term
Keywords: داده های بیش از حد; Hyperspectral data; Subpixel; Target detection;
Keywords: داده های بیش از حد; Tree species classification; Hyperspectral data; PLS-DA; SVM; RF; Sample selection; Spectral variable selection; CARS;
Keywords: داده های بیش از حد; Cotton; PLS-R; Hyperspectral data; Herbicide drift; Yield;
Keywords: داده های بیش از حد; ReliefF; Tidal flats; Hyperspectral data; Feature selection; Random forest; Intertidal sediments;
Keywords: داده های بیش از حد; Invasive species; Brazilian savanna biome; Hyperspectral data; Multiple endmember spectral mixture analysis;
Keywords: داده های بیش از حد; Hyperspectral data; Fractal dimension; Dimensionality reduction; Classification accuracy; Computational complexity
Keywords: داده های بیش از حد; Hyperspectral data; Wavelet transforms; Spectral features; Winter wheat; Yellow rust;
Keywords: داده های بیش از حد; Lithological mapping; Hyperspectral data; Spectral variability; Spectral angle mapper; Matched filtering;
Keywords: داده های بیش از حد; AVIRIS C; AVIRIS NG; MODTRAN; Noise equivalent delta radiance; Hyperspectral data; Imaging spectroscopy; CO2 emissions; Fossil fuel power plant;
Keywords: داده های بیش از حد; Hyperspectral data; Target detection; Matched filter; Constrained energy minimization
Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval
Keywords: داده های بیش از حد; Leaf optical properties; PROSPECT; Hyperspectral data; Biochemistry;
Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
Keywords: داده های بیش از حد; Canopy fuel metrics; Natural fuels; Mediterranean pine forests; Hyperspectral data; ALS data;
Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging
Keywords: داده های بیش از حد; Agricultural soil; Spectroscopy; Hyperspectral data; Superspectral sensor; Digital soil mapping;
Predicting the abundance of clays and quartz in oil sands using hyperspectral measurements
Keywords: داده های بیش از حد; Oil sands; Clay minerals; Hyperspectral data; Infrared; Spectroscopy;
Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms
Keywords: داده های بیش از حد; Swiss chard; Macronutrients; Micronutrients; Hyperspectral data; PLS1; PLS2; SPLS1; SPLS2;
The impacts of environmental variables on water reflectance measured using a lightweight unmanned aerial vehicle (UAV)-based spectrometer system
Keywords: داده های بیش از حد; Water reflectance; Environmental variables; Hyperspectral data; Water quality; Chlorophyll-a; Turbidity; CDOM; Unmanned Aerial Vehicle (UAV);
Self-organizing maps and Gestalt organization as components of an advanced system for remotely sensed data: An example with thermal hyper-spectra
Keywords: داده های بیش از حد; Hyperspectral data; Thermal spectra; Self-organizing maps; Unsupervised learning; Gestalt grouping;
Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion
Keywords: داده های بیش از حد; Leaf optical properties; PROSPECT; Radiative transfer modeling; Hyperspectral data; Bayesian statistics; Spectral inversion;
Semi-supervised SVM for individual tree crown species classification
Keywords: داده های بیش از حد; Tree species classification; Semi-supervised classification; Hyperspectral data; SVM; Individual tree crowns
Applicability of the PROSPECT model for estimating protein and cellulose + lignin in fresh leaves
Keywords: داده های بیش از حد; Leaf biochemicals; PROSPECT; Radiative transfer model; Cellulose; Lignin; Protein; Hyperspectral data
Unsupervised multiple endmember spectral mixture analysis-based detection of opium poppy fields from an EO-1 Hyperion image in Helmand, Afghanistan
Keywords: داده های بیش از حد; Opium poppy field; EO-1 Hyperion; Hyperspectral data; Target detection; MESMA; Helmand
A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data
Keywords: داده های بیش از حد; Swiss chard; Yield; Hyperspectral data; Partial least squares regression; Sparse partial least squares regression
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
Keywords: داده های بیش از حد; Sirex grey stage; Lighting damage; Pinus spp.; Hyperspectral data; Random forest; Support vector machines;
A Gaussian elimination based fast endmember extraction algorithm for hyperspectral imagery
Keywords: داده های بیش از حد; Hyperspectral data; Endmember; Gaussian elimination; Simplex
A reconfigurable neuroprocessor for self-organizing feature maps
Keywords: داده های بیش از حد; Self-organizing feature maps; FPGA; Hardware accelerator; Hyperspectral data
Laboratory imaging spectroscopy of a stagnic Luvisol profile — High resolution soil characterisation, classification and mapping of elemental concentrations
Keywords: داده های بیش از حد; Soil classification; Bidirectional reflectance; Hyperspectral data; Digital soil map; “Elemental mapping”; Chemometrics
Unsupervised methods for the classification of hyperspectral images with low spatial resolution
Keywords: داده های بیش از حد; Unsupervised classification; Spatial resolution improvement; Hyperspectral data; Source separation; Spatial regularization
Surveying the roofs of Rome
Keywords: داده های بیش از حد; Remote sensing; Hyperspectral data; Urban areas; Roofs; Materials and construction techniques
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
Keywords: داده های بیش از حد; Tree species classification; Hyperspectral data; Multispectral data; GeoEye-1; LiDAR data; LiDAR point density; Support vector machine; Random forest;
Classification of internally damaged almond nuts using hyperspectral imagery
Keywords: داده های بیش از حد; Almond nuts; Feature selection; Hyperspectral data; Product inspection; Ratio features
Spectroscopic classification of tropical forest species using radiative transfer modeling
Keywords: داده های بیش از حد; Leaf spectroscopy; Species discrimination; Humid tropical forest; PROSPECT; 4SAIL2; Linear discriminant analysis; Model inversion; Hyperspectral data; Spectranomics
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling
Keywords: داده های بیش از حد; Leaf optical properties; PROSPECT; Hyperspectral data; Pigment content; Water content; Leaf mass per area; Spectral indices; Partial least squares regression
Changes in hyperspectral reflectance signatures of lettuce leaves in response to macronutrient deficiencies
Keywords: داده های بیش از حد; Lactuca sativa L. cv. Black Seeded Simpson; Remote sensing; Reflectance; Hyperspectral data; Derivative spectra; Macronutrients
Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance
Keywords: داده های بیش از حد; Hyperspectral data; Wavelength selection; Spectral discrimination; Rice
Feasibility of estimating heavy metal concentrations in Phragmites australis using laboratory-based hyperspectral data—A case study along Le’an River, China
Keywords: داده های بیش از حد; Phragmites australis; Heavy metal concentration; Estimation; Chlorophyll; Hyperspectral data
Utilizing in situ directional hyperspectral measurements to validate bio-indicator simulations for a corn crop canopy
Keywords: داده های بیش از حد; Hyperspectral data; Radiative transfer models; SAIL; MCRM; Photochemical reflectance index; NDVI;
Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
Keywords: داده های بیش از حد; Forest biomass mapping; Fullwave laser; Polarimetric SAR interferometry; Hyperspectral data; Multi-sensoral data
A two-step optimization procedure for assessing water constituent concentrations by hyperspectral remote sensing techniques: An application to the highly turbid Venice lagoon waters
Keywords: داده های بیش از حد; Remote sensing; Physical model; Water constituents; Optically deep water; Water quality; Hyperspectral data
Mapping methane emissions from a marine geological seep source using imaging spectrometry
Keywords: داده های بیش از حد; Hyperspectral data; AVIRIS; CH4; Methane; Marine seeps; Coal Oil Point seep field; Residual