[PDF] Top 20 An eigenvalue-based approach for structure classification in polarimetric SAR images
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An eigenvalue-based approach for structure classification in polarimetric SAR images
... the classification scheme to ROIs 1 and 2 where the predominant structures are ...The classification performance of the proposed architecture can be found in Figure ...single polarimetric channel ... See full document
5
Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
... the classification accuracy, reliability parameter that shows the validity of a final decision in the face of a new pattern is particularly ...considering classification accuracy and reliability as ... See full document
8
Land Cover Classification of Palsar Images by Knowledge Based Decision Tree Classifier and Supervised Classifiers Based on SAR Observables
... fully polarimetric data for land cover ...cover classification techniques are available in the literature, but still uncertainty exists in labeling various clusters to their own classes without using any a ... See full document
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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification
... method based on Kernel K-singular vector decomposition (Kernel KSVD) algorithm is proposed for polarimetric synthetic aperture radar (PolSAR) image ...the SAR images, thus invalidating the ... See full document
9
Analysis of scattering components from fully polarimetric SAR images for improving accuracies of urban density estimation
... from SAR images, an understanding of microwave surface scattering is ...indispensable. Polarimetric radar allows for more advanced microwave scattering ...by polarimetric radar represents the ... See full document
9
Auto-Segmentation Based Object Detection Mechanism for SAR Images using Hybrid Ensemble Approach
... and eigenvalue-based polar metric structures to the classification stage are most noteworthy, along with some outdatedstructures like backscatter contrast between object and ...of ... See full document
7
Image Classification For SAR Images using Modified ANN
... detected images (amplitude or intensity). For example, simple classification methods based on thresholding of gray levels are generally inefficient when applied to speckled images, due to the ... See full document
5
Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications
... automatic classification of the dominant scattering mechanisms associated with the pixels of polarimetric SAR ...the polarimetric image pixels locally share the same covariance (homogeneous ... See full document
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Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features
... general polarimetric target decomposition method, which can be applied to the symmetry and asymme- try reflection ...algorithm based on statistical learning theorem’s VC dimension concept and structural ... See full document
9
On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data
... from polarimetric target decompositions have proven as very effective features for crop classification with single/multi-temporal polarimetric synthetic aperture radar (PolSAR) ...classical ... See full document
20
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 ... See full document
12
Unsupervised Classification of Fully Polarimetric SAR Image Based on Polarimetric Features and Spatial Features
... for classification, and the ultimate class results can be obtained according to the atoms with the least residual ...fully polarimetric SAR data of Foulum area, ...the classification process ... See full document
8
Auto Segmentation Based Object Detection Mechanism for SAR Images using Hybrid Ensemble Approach
... dual-polarization SAR data using support vector machine. Classification accuracy assessment shows our proposed methodology correctly identifies 90% oil spills and 80% look-alikes from validation dataset ... See full document
6
Detecting covariance symmetries for classification of polarimetric SAR images
... image, through the exploitation of special structures assumed by the covariance (and consequently by the coherence) matrix under symmetrical properties of the returns associated to the pixels under analysis. Since our ... See full document
16
A Downsampled SAR BM3D Despeckling Approach for Single Look SAR Images in High Resolution
... Downsampled SAR-BM3D can avoid the deficient smoothing to some extent. However, some detail information is lost after downsampling and upsampling. The whole image seems blurred and suffers from contrast ... See full document
7
Polarimetric analysis of long term paddy rice observation using ground-based SAR (GB-SAR) system
... To analyze the paddy rice using polarimetric decomposition technique, 8 times of paddy rice observation data were collected from June 7th until September 14th of 2016. These observations were conducted by using ... See full document
6
Analysis of SAR Images using New Image Classification Methods
... over SAR image supported on physical model ...representation based on hydrodynamic reproduction to observe the oil spill from a moving ...of classification of oil spills including neural network, ... See full document
5
Classification of Histopathological Images based on Modified Clump Splitting Approach
... algorithm based on image ...splitting based on identifying concave ...concavity based clump splitting on titanium ...new approach towards clump separation was proposed by ...extracted ... See full document
8
Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images
... According to the results obtained by the Cold Region Re- search and Engineering Laboratory (CRREL’88), the typi- cal ranges of root mean square (rms) height and correla- tion lengths for smooth level sea ice are ... See full document
17
SAR Image Target Classification: A Feature Fusion Approach
... Supervised classification by support vector machine, K nearest neighbor, Decision trees and unsupervised classification based on independent component analysis, Gaussian mixture model, Artificial ... See full document
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