polarimetric SAR image data
Edge Detection in Polarimetric SAR Image based on Bandelet Transform
... PolSAR data representation [14],[15], bandelet transform fundamentals and it advantages over wavelet transforms and GCV thresholding employed for the bandelet coefficient shrinkage for the speckle removal ...
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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
... for polarimetric synthetic aperture radar (PolSAR) image ...the SAR images, thus invalidating the traditional decompositions based on specific scattering mechanisms offering low-resolution SAR ...
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Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications
... of polarimetric SAR ...the polarimetric image pixels locally share the same covariance (homogeneous environment), whereas the second scenario considers polarimetric pixels with ...
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Fuzzy-Superpixels for Polarimetric SAR Images Classification
... denotes the total number of pixels in the PolSAR image. For each dataset, five labeled pixels are randomly selected from each class. Superpixels with labeled pixels are assigned to the same label with the ...
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Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features
... EMISAR data is classified into six typical classes, that is, trihedral, diplane, dipole, cylinder, narrow diplane, and 1/4 wave ...EMISAR image based on Cameron ...
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Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration
... The data was collected at a test site in Oberpfaffenhofen, Ger- ...optical data. Figure 14(b) shows a polarimetric SAR image of the same scene acquired by the E-SAR sensor of DLR ...
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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum
... PiSAR image in Figure ...PolSAR image. However, our algorithm is designed for multidimension SAR data and the corresponding energy functional is derived from the complex Wishart distribution ...
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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification
... metric SAR data has been ...truth data, and also because classes from the ground truth might not have corresponded to the cluster centers derived from the unsuper- vised ...and polarimetric ...
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An eigenvalue-based approach for structure classification in polarimetric SAR images
... from SAR data collected by an unmanned aerial vehicle synthetic aperture radar of the United States National Aeronautics and Space ...full-polarimetic SAR capabilities and works in the L-band with a ...
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A multi-family GLRT for detection in polarimetric SAR images
... real SAR data. More precisely, we use a data set obtained from the GOMoil 07601 10052 101 100622 L090 CX 02 SAR image which is composed of sea data containing an oil spill on ...
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Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario
... sample data (the “bag”). The remaining (one-third) training sample data (the “Out-Of-Bag”, OOB) are used to compute the error rate for the ...input image can be produced by the random forest ...
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Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
... supports polarimetric modes for C, L, and P- bands where we focus on L-band and RADARSAT-2 working in C-band also supports the full polarimetric ...AIRSAR image. The Pauli-coded pseudocolor ...
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A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data
... Decision tree approach requires athorough knowledge of information-bearing features and their physical understanding. It has been already known that phase intensity is a function of the electromagnetic wave parameters ...
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Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests
... training data points of any class (so-called functional margin), since in general the larger the margin, the lower the generalization error of the ...single polarimetric descriptor are shown in Table ...
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Forest-type mapping from airborne polarimetric SAR data
... satellite data is quite difficult due to poor spatial ...of polarimetric Airborne Synthetic Aperture Radar (AIRSAR) data to assess forest type distribution within the area of Endau-Rompin in Pahang, ...
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Detecting covariance symmetries for classification of polarimetric SAR images
... GOMoil_07601_10052_101_100622_L090_CX_02 SAR im- age that is composed of sea data containing also an oil ...The image has been acquired on June 22, 2010, during the British Petroleum oil spill ...
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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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Scale Mixture of Gaussian Modelling of Polarimetric SAR Data
... brightness image is shown in Figure 11 and shows the expected range from low for smooth fields and water to bright for forest and urban ...the image, corresponding to lower incidence ...RGB image in ...
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Application of Differential and Polarimetric Synthetic Aperture Radar (SAR) Interferometry for Studying Natural Hazards
... quantities of SAR data has led to the development of multibaseline DInSAR techniques (Berardino et al. 2002; Hooper et al. 2007; Ferretti et al. 2001). These methods perform DInSAR analysis on a subset of ...
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Selective Synthetic Aperture Radar and Panchromatic Image Fusion by Using the à Trous Wavelet Decomposition
... the SAR image by exploiting the high spatial resolution panchromatic im- age as a complementary ...the SAR image as lines and edges, the incorporation of the P wavelet coefficients implies a ...
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