fully-polarimetric SAR
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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Edge Detection in Polarimetric SAR Image based on Bandelet Transform
... plagues polarimetric SAR images and is worsened by its multiplicative nature which induces high probability of false ...to fully polarimetric SAR images, the research efforts on this ...
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Application Of Polarimetric SAR For Surface Parameter Inversion And Land Cover Mapping Over Agricultural Areas
... 2006). Fully polarimetric SAR (PolSAR) has four polarization compositions and offers more observations than a single polarization SAR, which can assist in investigating the scattering ...
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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum
... multidimension SAR data and the corresponding energy functional is derived from the complex Wishart distribution which can characterize the multidimen- sional SAR data effectively ...
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Study of Mineralogical diversity and Scattering characteristics of Lunar Equatorial region using Chandrayaan-1 data
... Mini- SAR data is primarily used to identify signatures suggesting the possibility of the presence of water ice (Fa, et al., 2013). Further, this data has been used to view various other geological features such ...
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Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut
... sense signals they are associated with high CPR values (CPR > 1) (Campbell 2012, Neish and Carter 2014). Ice has low microwave loss and can produce CPR values up to about 2. As cracks and voids within the ice scatter ...
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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification
... Fullpolarimetric SAR systems collect complete polarimetric scattering information, at every imaged ...fullpolarimetric SAR involves the coherent transmission and reception of both vertically (V ) and ...
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Calibration of spaceborne CTLR compact polarimetric low-frequency SAR using mixed radar calibrators
... The analysis in previous sections has implicitly assumed that the calibrators can be constructed and located in such a way that noise and clutter can be neglected. However, the 6 MHz bandwidth allowable under ITU ...
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Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration
... 6.1. Experiment 1. Pyramid and model-based fusion with a multi-single turbo iterative method was applied to the fusion between SAR and visible-band imagery, and between different polarization SAR imagery. ...
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Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests
... using polarimetric SAR imagery has been a very active research field over recent ...classifying polarimetric SAR ...to polarimetric SAR image classification and compare it with ...
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Temporal Monitoring of SAR Polarimetric Parameters and Scattering Mechanism for Major Kharif Crops and Surrounding Land Use
... of polarimetric parameters like Radar Vegetation Index, Span ...These fully polarimetric multi-temporal datasets were then visualized and analyzed (based on backscattering value) for identification ...
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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
... matrix [S], [C] and [T ], respectively. Compared with the best physical decomposition on each polarimetric matrix, improvements in Kernel KSVD are 7.3, 7.6 and 6.1%, respectively. From Tables 2 and 3, we find that ...
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A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data
... treeclassifierforlandcover classification of remotely sensed data has been increased considerably. Previous researchers show that decision tree algorithms consistently outperform supervised classification techniques. ...
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Polarimetric Synthetic Aperture Radar (SAR) Application for Geological Mapping and Resource Exploration in the Canadian Arctic
... between SAR data acquisitions and the in situ ...the SAR acquisition and in situ measurements (specifically, clear and sunny ...of SAR acquisition need to be collected for further refinement and ...
178
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 polarimetric ...
235
Circularly Polarized Wave Scattering from Two-Dimensional Dielectric Rough Sea Surface
... the polarimetric scattering model of second-order small-slope approximation (SSA-II) with tapered wave incidence under linear and circular polarization, monostatic and bistatic scattering from two-dimensional ...
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Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario
... LU/LC change detection and crop condition monitoring applications using optical images are successful only when images can be acquired frequently over the entire crop growth period. However, due to the existence of haze ...
145
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 surface ...
7
Application of Differential and Polarimetric Synthetic Aperture Radar (SAR) Interferometry for Studying Natural Hazards
... Differential Interferometric Synthetic Aperture Radar (DInSAR) is a technique for measuring ground deformation induced by natural or man-made processes (Massonnet & Feigl 1998; Bamler & Hartl 1998). DInSAR has ...
169
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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