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polarimetric SAR image analysis

Analysis of a Residual Model for the Decomposition of Polarimetric SAR Data

Analysis of a Residual Model for the Decomposition of Polarimetric SAR Data

... The Advanced Land Observing Satellite (ALOS) L-band PolSAR dataset for San Francisco is used in this paper. The satellite image, including the ascending track, was acquired on 11 November 2009. The incidence angle ...

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Edge Detection in Polarimetric SAR Image based on Bandelet Transform

Edge Detection in Polarimetric SAR Image based on Bandelet Transform

... as image segmentation, detection of features like roads, coastline, crop area, forest cover and so ...plagues polarimetric SAR images and is worsened by its multiplicative nature which induces high ...

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Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications

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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A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification

A learning-based target decomposition method using Kernel KSVD for polarimetric SAR image classification

... corresponding to known scattering mechanisms. Sev- eral methods are available for searching sparse codes efficiently and include efficient sparse coding algorithm [6], KSVD algorithm [7] and online dictionary [8]. The KSVD ...

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Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features

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 ...PolSAR image classification algorithm. The quantitative analysis and the ...

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Detecting covariance symmetries for classification of polarimetric SAR images

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 ...

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Polarimetric SAR as a Tool for Remote Sensing Salt Diapirs, Axel Heiberg Island, Nunavut

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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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum

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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A multi-family GLRT for detection in polarimetric SAR images

A multi-family GLRT for detection in polarimetric SAR images

... performance analysis, in this subsection, we evaluate the effectiveness of the new detectors on real SAR ...02 SAR image which is composed of sea data containing an oil spill on ...The ...

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Research on Algorithms of SAR and Optical Image Fusion

Research on Algorithms of SAR and Optical Image Fusion

... Multi-source image fusion has increased. SAR and optical images have their own characteristics, quite different from each ...of SAR image feature information and reduce the spectral ...in ...

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Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration

Multiple Input to Multiple Output Images Fusion Based on Turbo Iteration

... The essence of turbo interative is to guarantee two uncorrelated component codes and make better use of the information by exchanging it during the iteration. The essence has been introduced into image processing ...

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Calibration of spaceborne CTLR compact polarimetric low-frequency SAR using mixed radar calibrators

Calibration of spaceborne CTLR compact polarimetric low-frequency SAR using mixed radar calibrators

... the analysis and simulations, involving four polarimetric selective calibrators, namely, two gridded trihedrals (or active calibrators) that select for the HH and VV channels and two active calibrators that ...

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Analysis on the Azimuth Shift of a Moving Target in SAR Image

Analysis on the Azimuth Shift of a Moving Target in SAR Image

... (SAR) image is proportional to the projected velocity of its across-track velocity in the slant-range ...in SAR image after estimating its ...the SAR system’s pulse repetition frequency ...

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Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification

Assessment of L-Band SAR Data at Different Polarization Combinations for Crop and Other Landuse Classification

... complete polarimetric information of azimuthally symmetric targets pertaining to the backscattered ...dual polarimetric modes and often referred to as ‘pseudo quad-polarization’ ...hybrid ...

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Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario

Application of RADARSAT-2 Polarimetric Data for Land Use and Land Cover Classification and Crop monitoring in Southwestern Ontario

... weather. SAR images provide an alternative data source to optical ...available polarimetric SAR data contain full polarization information, and have greater potential compared with the traditional ...

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SAR image segmentation with GMMs

SAR image segmentation with GMMs

... the image to segment. This gives a dis- tance image representing the likelihood of the area to belong to the ...final image is obtained after thresholding the distance image and some further ...

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Target detection in complex scene of SAR image based on existence probability

Target detection in complex scene of SAR image based on existence probability

... scene SAR image was focused by estimating the existence probability of the target in each ...scene SAR image and is extensively used for different target detection ...

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Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion

Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion

... component analysis (PCA) [13], discrete wavelet transform (DWT) [15], non-sampled contourlet transform (NSCT) [16] and joint sparse representation (JSR) ...source image separately in discrete wavelet ...

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Study of Mineralogical diversity and Scattering characteristics of Lunar Equatorial region using Chandrayaan-1 data

Study of Mineralogical diversity and Scattering characteristics of Lunar Equatorial region using Chandrayaan-1 data

... Profile analysis The band shape algorithms such as standard band ratio are employed at crucial wavelengths to delineate the abundance of minerals such as olivine, low-Ca pyroxene, high-Ca pyroxene and plagioclase ...

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Analysis of SAR Images using New Image Classification Methods

Analysis of SAR Images using New Image Classification Methods

... In the new proposed process of segmentation, the initial step is computing the threshold value from original image. A new threshold technique is projected in this manuscript to make better segmentation based on ...

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