Keywords: از بین بردن طیفی; Photoacoustic tomography; Blood oxygenation; Spectral unmixing; Inverse problem; Optical scattering; Optical attenuation;
مقالات ISI از بین بردن طیفی (ترجمه نشده)
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Keywords: از بین بردن طیفی; Hyperspectral (HS) image; Poisson noise; Spectral unmixing; Total variation; Sparse information; Fast computation;
Keywords: از بین بردن طیفی; Pigment identification; Hyperspectral imaging; Classification; Endmember estimation; Spectral unmixing;
Keywords: از بین بردن طیفی; Spectral unmixing; Mass fractions; Intimate mixtures; Laboratory measurements; Calibration;
Keywords: از بین بردن طیفی; Land cover; Fraction maps; Spatial-temporal fusion; Spectral unmixing; Super-resolution mapping;
Keywords: از بین بردن طیفی; Thermal infrared emissivity; Spectral unmixing; TIR multispectral data; TIR hyperspectral data; Mars dune analogs; Aeolian sorting; ASTER;
Keywords: از بین بردن طیفی; Hyperspectral; Emerald ash borer; OBIA; Forest species classification; GLiHT; Spectral unmixing; Forest decline; Forest health;
Keywords: از بین بردن طیفی; Hyperspectral imaging; Spectral unmixing; Fish; Cod; Fillet; Blood;
Keywords: از بین بردن طیفی; Time series; Spectral unmixing; Urban vegetation; Landsat;
Keywords: از بین بردن طیفی; Land desertification; Rocky desertification monitoring; Sustainable land use management; Sub-pixel mapping; Spectral unmixing; Ecological restoration project; Land conservation policy;
Keywords: از بین بردن طیفی; Sub-pixel land-cover mapping; Classification accuracy assessment; Spectral unmixing; Error map; Local accuracy; Image classification;
Keywords: از بین بردن طیفی; Spectral unmixing; Spectral similarity; Genetic algorithm; Non-linear unmixing;
Keywords: از بین بردن طیفی; Mars surface; Hydrous mineral; Spectroscopy; Spectral unmixing; Hyperspectral remote sensing;
Keywords: از بین بردن طیفی; Hyperspectral image; Compression; Tensor decomposition; Spectral unmixing; Target detection
Keywords: از بین بردن طیفی; Donor-acceptor pair; Extinction coefficient ratio; FRET; Spectral unmixing; Live cells;
Keywords: از بین بردن طیفی; Biocrust; Runoff; Spatially distributed models; Spectral unmixing; Water and sediment redistribution; Badlands;
Keywords: از بین بردن طیفی; Glacier area change; Spectral unmixing; Remote sensing of snow; Trend analysis;
Keywords: از بین بردن طیفی; Spectral unmixing; Spectral Mixture Analysis; Spatial dependence; Endmembers;
Keywords: از بین بردن طیفی; Land surface temperature; Impervious surface fraction; Spectral unmixing; Thermal mixing;
Keywords: از بین بردن طیفی; Land surface temperature; NDVI; Percent green vegetation; Percent impervious surface area; Spectral unmixing; Surface urban heat island; Thermal mixing;
Fuel load mapping in the Brazilian Cerrado in support of integrated fire management
Keywords: از بین بردن طیفی; Landsat; Prescribed burning; Integrated fire management; Sentinel-2; Spectral unmixing;
Multi-tissue partial volume quantification in multi-contrast MRI using an optimised spectral unmixing approach
Keywords: از بین بردن طیفی; Partial volume; Multi-contrast MRI; Spectral unmixing; Hyperspectral imaging; Penalised least-squares; D optimality; Danish pastry; Proving; Quantification;
Effect of Denoising on Dimensionally Reduced Sparse Hyperspectral Unmixing
Keywords: از بین بردن طیفی; Spectral unmixing; Denoising; Least square; dimensionality reduction; Hyperspectral images; Type your keywords here; separated by semicolons;
Retrieving the hydrous minerals on Mars by sparse unmixing and the Hapke model using MRO/CRISM data
Keywords: از بین بردن طیفی; Mars; Abundance; Hydrous minerals; CRISM; Spectral unmixing;
Evaluation of spectral unmixing techniques using MODIS in a structurally complex savanna environment for retrieval of green vegetation, nonphotosynthetic vegetation, and soil fractional cover
Keywords: از بین بردن طیفی; Spectral unmixing; Spectral line point intercept transect methods; Ground-truthing MODIS; Savanna ecosystems; Kalahari; Multiple endmember spectral mixture analysis; Spectral mixture analysis;
Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data
Keywords: از بین بردن طیفی; Fractional cover; MODIS; Landsat; Australia; Ground cover; Spectral unmixing; Photosynthetic vegetation; Non-photosynthetic vegetation; Soil;
Sparse hyperspectral unmixing based on smoothed ℓ0 regularization
Keywords: از بین بردن طیفی; Sparse unmixing; Smoothed ℓ0 norm; Spectral unmixing; Hyperspectral imaging
Quantifying uncertainty in remote sensing-based urban land-use mapping
Keywords: از بین بردن طیفی; Uncertainty; Land-use mapping; Urban remote sensing; Image classification; Spectral unmixing; Monte Carlo simulation;
Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 μm) and regression tree analysis
Keywords: از بین بردن طیفی; Soil minerals; Spectral unmixing; Exponential Gaussian optimisation; Regression trees; SWIR reflectance spectroscopy;
Optical wavelength selection for improved spectroscopic photoacoustic imaging
Keywords: از بین بردن طیفی; Spectroscopic photoacoustic imaging; Feature selection; Spectral unmixing; Spectroscopy
Synergy of VSWIR (0.4–2.5 μm) and MTIR (3.5–12.5 μm) data for post-fire assessments
Keywords: از بین بردن طیفی; Fire severity; Multiple Endmember Spectral Mixture Analysis (MESMA); Wildfire emission; Carbon; Differenced Normalized Burn Ratio (dNBR); Burn severity; Char; Charcoal; Spectral unmixing
Hyperspectral shape-based unmixing to improve intra- and interclass variability for forest and agro-ecosystem monitoring
Keywords: از بین بردن طیفی; Hyperspectral; Spectral unmixing; Shape-based metrics; Agriculture; Forestry; Virtual reality
Objective Bayesian analysis for the normal compositional model
Keywords: از بین بردن طیفی; Normal compositional model; Spectral unmixing; Jeffreys prior; Reference prior; Frequentist properties
Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil
Keywords: از بین بردن طیفی; Spectral unmixing; Salinity; Remote sensing; Salinity indicators; BrazilDémélange spectral; Salinité; Télédétection; Indices de salinité; Brésil
A lattice matrix method for hyperspectral image unmixing
Keywords: از بین بردن طیفی; Neural networks: Associative memories; Lattice associative memories; Lattice algebra: affine independence; Lattice independence; Lattice matrices; Hyperspectral image analysis: endmember search; Spectral unmixing; Abundance maps
Detection of the homo- and hetero-interaction of proteins using fluorescence resonance energy transfer spectrum method
Keywords: از بین بردن طیفی; Fluorescence spectroscopy; Spectral unmixing; FRET; CFP; YFP
Estimating vegetation parameter for soil erosion assessment in an alpine catchment by means of QuickBird imagery
Keywords: از بین بردن طیفی; Soil erosion; Mountain; Remote sensing; Spectral unmixing; QuickBird; NDVI
An approach based on self-organizing map and fuzzy membership for decomposition of mixed pixels in hyperspectral imagery
Keywords: از بین بردن طیفی; Mixed pixel; Spectral unmixing; Endmember; Abundance; Self-organizing map neural network; Fuzzy membership
Retrieval of subpixel Tamarix canopy cover from Landsat data along the Forgotten River using linear and nonlinear spectral mixture models
Keywords: از بین بردن طیفی; Tamarix; Spectral unmixing; Multiple scattering; Subpixel confusion
Autonomous single-pass endmember approximation using lattice auto-associative memories
Keywords: از بین بردن طیفی; 87.19.lv; 87.85.dq; 93.85.Bc; 93.85.PqNeural networks: associative memories; Lattice associative memories; Lattice algebra: lattice independence; Hyperspectral image analysis: endmember search; Spectral unmixing; Abundance maps
Subpixel monitoring of the seasonal snow cover with MODIS at 250 m spatial resolution in the Southern Alps of New Zealand: Methodology and accuracy assessment
Keywords: از بین بردن طیفی; MODIS; Snow; Image fusion; Subpixel snow fraction; Mountainous terrain; Spectral unmixing
Changes in the built vs. non-built environment in a rapidly urbanizing region: A case study of the Greater Toronto Area
Keywords: از بین بردن طیفی; Remote sensing; Greater Toronto Area; Urban sprawl; Subpixel classifier; Spectral unmixing
Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006
Keywords: از بین بردن طیفی; Impervious surface; Landsat; Multitemporal; Change detection; Urban sprawl; Spectral unmixing; Washington State
Blind spectral unmixing by local maximization of non-Gaussianity
Keywords: از بین بردن طیفی; Blind source separation (BSS); Dependent component analysis (DCA); Hyperspectral remote sensed images; Independent component analysis (ICA); Spectral unmixing
Characterizing spatial patterns of invasive species using sub-pixel classifications
Keywords: از بین بردن طیفی; Sub-pixel classification; Spectral unmixing; Saltcedar; Landscape metrics; Threshold continuum
Mapping northern land cover fractions using Landsat ETM+
Keywords: از بین بردن طیفی; Landsat ETM+; Spectral unmixing; Arctic; Vegetation; Land cover; Fractions; Ikonos
Scaling dimensions in spectroscopy of soil and vegetation
Keywords: از بین بردن طیفی; Spatial spectral directional temporal scaling; Imaging spectroscopy; Radiative transfer; Spectral unmixing; Data fusion; Multi-source approach