polarimetric SAR image
Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features
... of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) and Support Vector Machine (SVM) is presented in this ...fully polarimetric SAR ...of polarimetric ...
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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 ...
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Edge Detection in Polarimetric SAR Image based on Bandelet Transform
... PolSAR images are primarily based on Roy’s largest eigen value method or Wishart likelihood-ratio test (Wishart-LRT) [9]. Because of the usage of windows, there is a tradeoff between edge locating accuracy and speckle ...
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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
... the image as a vector made of three or nine elements, based on which the proposed Kernel KSVD algorithm performs decom- position and generates an over-complete dictionary of certain ...
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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum
... multidimensional SAR technique based on acquiring earth’s surface information by means of using a pair of orthogonal polarizations for the transmitted and received electromagnetic fields [1, ...PolSAR image ...
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Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration
... 6.2. Experiment 2. Experiment 2 was conducted to com- pare the performance of the wavelet-based fusion method with the multi-multi turbo iterative method. The data was collected at a test site in Oberpfaffenhofen, Ger- ...
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Calibration of spaceborne CTLR compact polarimetric low-frequency SAR using mixed radar calibrators
... four polarimetric selective calibrators, namely, two gridded trihedrals (or active calibrators) that select for the HH and VV channels and two active calibrators that select for the HV and VH ...
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Study of Mineralogical diversity and Scattering characteristics of Lunar Equatorial region using Chandrayaan-1 data
... hybrid polarimetric radar flown outside the Earth’s ...hybrid polarimetric architecture of mini -SAR allows the measurement of the Stokes parameters and backscatter properties of various lunar ...
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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification
... asymmetric polarimetric behaviour due to orientation of row crops along the radar line of sight, tillage patterns, lodging (by strong winds) or harvesting patterns [2, ...circular polarimetric data than the ...
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Research on Algorithms of SAR and Optical Image Fusion
... In the experiment, the Sentinel 1 SAR image without filtering is merged with the high score 1 data. Figure 3.2(a)~(d) shows that the corresponding algorithm cannot suppress the speckle noise. The fused ...
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Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario
... The in situ measurements were taken coincident with the satellites overpasses. Measurement were conducted on per-fieldbasis. The crop fields selected in this study area are representative of the main crops in ...
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SAR image segmentation with GMMs
... Unlike previous methods where the focus was on achieving a good segmentation by the usual standards such as a high Dice score, the main objective here is to ease the classification pro- cess. The objective is to retain ...
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Target detection in complex scene of SAR image based on existence probability
... accuracy of the GIS information. These data often suffer from systematic or random positional errors; hence, the region axes have to be realigned to the image [11]. Wang et al. used the Markov random field (MRF) ...
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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 polarimetric ...
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An Analysis of multimodal sensor fusion for target detection in an urban environment
... the polarimetric signature was based on differences between filtered images when expressed as a Stokes vector, even relatively small noise values had a dramatic ...the polarimetric SNR of 200 ...
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Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut
... RADARSAT-2 image is used to overlap the June 24th image to reduce interference from ...OLI image from September 19th, 2017 shows that snow or ice covered the acquisition areas of the RADARSAT-2 ...
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Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion
... source image separately in discrete wavelet domain, but it sometimes produces Gibbs effect in some ...sensing image fusion in recent years. JSR is a novel image fusion method, by which source ...
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Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications
... in polarimetric SAR images was investigated, focusing only on the heterogeneous scenario wherein the polarimetric image pixels share the same covariance but different power ...same ...
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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 surface ...
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Polarimetric radar cross section under SAR geometry
... strongly dependent on the aspect angle, the simulation results were calculated by using the SAR geometry which poses dif- ferent directions for the incident and scattered waves. An im- portant point to note is ...
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