polarimetric SAR data
A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data
... The polarimetric information contained in polarimetric synthetic aperture radar (SAR) images represents great potential for characterization of natural and urban ...with polarimetric ...
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Analysis of a Residual Model for the Decomposition of Polarimetric SAR Data
... metric SAR (PolSAR) data, Freeman-Durden decompo- sition (FDD), which is based on a physical model, con- sists of three types of scattering mechanisms: volumetric scattering, double-bounce scattering, and ...
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Estimation of soil parameters over bare agriculture areas from C band polarimetric SAR data using neural networks
... A realistic dataset combining a wide range of soil vari- ables (rms surface height “rms” and soil moisture “mv”) and corresponding to backscattering coefficients was gener- ated from the calibrated IEM to evaluate the ...
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Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
... In conventional methods that use a single classifier, all samples, which have been distributed in the feature space, are distinguished by only one classifier. In these approaches, the recognition of samples of several ...
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Forest-type mapping from airborne polarimetric SAR data
... The study site is located in the state of Johor in Malaysia (Figure 1). The natural land is covered by tropical rain forests. From the DEM that has been generated from TOPSAR data, it shows the peak of the ...
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Scale Mixture of Gaussian Modelling of Polarimetric SAR Data
... The features can also be viewed as images, to indicate where different features are significant, with a colour scale from blue for low values through yellow to red for high values. Figure 10 shows non-Gaussianity, where ...
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Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario
... using polarimetric SAR data is limited due to the speckle noise, the influence of soil on SAR backscatters in the early growing stage of crops, and the saturation phenomenon of ...
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An eigenvalue-based approach for structure classification in polarimetric SAR images
... in polarimetric SAR ...the polarimetric data has been extracted by creating reduced-size vectors which allowed to classify the dominant eigenvalue for each pair of ...measured ...
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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification
... (SAR) data has shown promising results in crop discrimination and classification with reasonably high ...multi-date SAR data that uses phenological information of crops to discriminate ...
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Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon
... based modeling for tree height and aboveground biomass retrieval in a tropical deciduous forest. A three-component scattering model for polarimetric SAR data[r] ...
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Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario
... Multipolarization SAR data provide more information about crop growing conditions than the single polarization SAR ...polarization SAR data for crop monitoring has been well explored in ...
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Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications
... of SAR polarimetry is of particular relevance in Remote ...of polarimetric SAR in remote sensing includes biomass estimation, rice paddy monitoring, snow and ice analysis, oil spill detection and ...
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Spaceborne Polarimetric SAR Interferometry: Performance Analysis and Mission Concepts
... We investigate multichannel imaging radar systems employing coherent combinations of polarimetry and interferometry (Pol- InSAR). Such systems are well suited for the extraction of bio- and geophysical parameters by ...
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Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery
... X-band polarimetric synthetic aperture radar (SAR) on drifting first-year sea ...to polarimetric features extracted from four dual-polarimetric X-band SAR scenes, reveal- ing ...
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Calibration of spaceborne CTLR compact polarimetric low-frequency SAR using mixed radar calibrators
... spaceborne SAR measurements will suffer from Faraday rotation (FR) ...to SAR systems transmitting on a single polarization, thus increasing the time needed for global ...compact polarimetric (CP) ...
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Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut
... incorporate data at multiple resolutions when performing remote predictive geological ...Because SAR is sensitive to snow and ice, these images helped determine the extent of interference from these sources ...
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Polarimetric Synthetic Aperture Radar (SAR) Application for Geological Mapping and Resource Exploration in the Canadian Arctic
... ASTER data covering central Devon Island into the decision- tree mapping ...units, polarimetric SAR can quantitatively assess the weathering and deposition processes in the Canadian Arctic by ...
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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
... single-polarized SAR, polarimetric SAR (PolSAR) can work under different polarimetric combinations of trans- mitting and receiving ...of data application and obtains rich target ...
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Application Of Polarimetric SAR For Surface Parameter Inversion And Land Cover Mapping Over Agricultural Areas
... C-band polarimetric data used in this chapter are shown in Table 2-2, which were from May 7 th to September 28 th 2012, and the day of year (DoY) s was from day 128 to ...Every data layer was ...
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Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests
... new polarimetric descriptor based on statistical properties and scattering mechanisms; the other is to employ some advanced classifiers originated from machine learning and pattern recognition ...
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