polarimetric SAR image classification
Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests
... Terrain classification using polarimetric SAR imagery has been a very active research field over recent ...classifying polarimetric SAR ...to polarimetric SAR image ...
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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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Fuzzy-Superpixels for Polarimetric SAR Images Classification
... Abstract—Superpixels technique has drawn much attention in computer vision applications. Each superpixels algorithm has its own advantages. Selecting a more appropriate superpixels algorithm for a specific application ...
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A Novel Decision Tree Algorithm for Land Cover Classification Using Hybrid Polarimetric Sar Data
... tree classification shows promising results for different features such as odd, even and volume ...model image pixel than other artificial neural net, support vector machine, parallelepiped, the minimum ...
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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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Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features
... The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) and Support Vector Machine (SVM) is presented in this ...involving classification, ...
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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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Image Classification For SAR Images using Modified ANN
... dark). Polarimetric SAR (PolSAR) image classification is arguably one of the most important applications in remote ...sensing. Classification is the process of assigning a set of given ...
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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification
... Likelihood classification algorithms based on theoretical speckle distributions of multi-polarization and polari- metric SAR data has been ...Supervised classification was used, because unsupervised ...
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Forest-type mapping from airborne polarimetric SAR data
... classification. The noise appears when the signal is converted to image. In this study, various filters have been used to determine which filter gives the best result of minimizing the effect of noise by ...
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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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Detecting covariance symmetries for classification of polarimetric SAR images
... An example of application of polarimetry can be found in [8], where the coherence matrix is exploited for extracting average parameters from experimental data. The algorithm is based on a second-order statistical model ...
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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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Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario
... other classification methods mentioned above, the RF classifier has several advantages: (i) overall and class-specific accuracies are generally higher, (ii) a supplementary variable importance measure can be ...
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Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario
... the SAR system, some researchers have investigated the polarimetric properties of SAR data in LU/LC classification and vegetation ...utilizing polarimetric SAR instead of single ...
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Research on Algorithms of SAR and Optical Image Fusion
... multi-group SAR and visible image fusion are carried ...The image of the Tianjin suburb and the Bohai port photographed by the Sentinel One satellite, the Landsat8 Tianjin suburb image with a ...
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Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration
... one image to cover com- plete information of multi-channel images from multiple sensors, fusion should be applied to multiple fusion outputs according to the corresponding application, which surely has advantages ...
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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 ...
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Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery
... their SAR signature. Ponds smaller than the SAR resolution return a signal mixed with sea ice and possibly leads, while very large melt ponds could fill a resolution ...of SAR resolution and speckle ...
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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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