scholarly journals Synthetic Aperture Radar Image Background Clutter Fitting Using SKS + MoM-BasedG0Distribution

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Zhengwei Zhu ◽  
Jianjiang Zhou ◽  
Hongyu Chu
Keyword(s):  
Parameter Estimation ◽  
Synthetic Aperture Radar ◽  
Estimation Method ◽  
Synthetic Aperture Radar Image ◽  
Synthetic Aperture ◽  
Characteristic Functions ◽  
Sar Image ◽  
Method Of Moment ◽  
Distribution Parameter Estimation ◽  
Aperture Radar

G0distribution can accurately model various background clutters in the single-look and multilook synthetic aperture radar (SAR) images and is one of the most important statistic models in the field of SAR image clutter modeling. However, the parameter estimation ofG0distribution is difficult, which greatly limits the application of the distribution. In order to solve the problem, a fast and accurateG0distribution parameter estimation method, which combines second-kind statistics (SKS) technique with Freitas’ method of moment (MoM), is proposed. First we deduce the first and second second-kind characteristic functions ofG0distribution based on Mellin transform, and then the logarithm moments and the logarithm cumulants corresponding to the above-mentioned characteristic functions are derived; finally combined with Freitas’ method of moment, a simple iterative equation which is used for estimating theG0distribution parameters is obtained. Experimental results show that the proposed method has fast estimation speed and high fitting precision for various measured SAR image clutters with different resolutions and different number of looks.

scholarly journals Parameter estimation in multi-antenna system based on iterative adaptive approach

2018 ◽  
Vol 232 ◽  
pp. 04064
Author(s):  
Lihua Lei ◽  
Ju Zhou
Keyword(s):  
Parameter Estimation ◽  
Synthetic Aperture Radar ◽  
Estimation Method ◽  
Velocity Estimation ◽  
Motion Parameter ◽  
Synthetic Aperture ◽  
Target Velocity ◽  
Adaptive Approach ◽  
Iterative Adaptive Approach ◽  
Aperture Radar

As one of the main means for remote sensing and detecting, synthetic aperture radar is playing more important role in many fields such as country reconnaissance, ocean observation, environment disaster monitoring and military reconnaissance. The synthetic aperture radar system based on multi-antenna technology can achieve high resolution of still image and estimate the motion parameter. The echo model of target is set up for motion parameter estimation and the performance of system parameter estimation is given according to the moving target velocity estimation method based on iterative adaptive approach.

Study on Synthetic Aperture Radar Image Denoising Algorithm

2014 ◽  
Vol 599-601 ◽  
pp. 1734-1737
Author(s):  
Wu Fen Chen ◽  
Ai Lian Liu ◽  
Jia Jia Xia ◽  
Chao Lei Duan ◽  
Song Song Yang ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Median Filter ◽  
Speckle Noise ◽  
Synthetic Aperture Radar Image ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Median Filtering ◽  
Soft Threshold ◽  
Aperture Radar ◽  
Improved Algorithm

In synthetic aperture radar (SAR) inherent speckle will affect the legibility of image details; give the image target detection adverse effects. In order to reduce the SAR image speckles noise, this article provided an improved algorithm based on median filter and wavelet semi-soft threshold shrinkage. First, reduced the SAR image speckle with median filtering method, then, with the filtered image, filtering the image with wavelet half soft threshold value contraction algorithm to noise, Simulation results show that the algorithm based on median filtering and improved algorithm of wavelet half soft threshold shrinkage of SAR image can better remove the speckle noise of the SAR image, while keep better edge, in Equivalent Number of Looks (ENL) and edge keep ability (FOM) aspects, it would be better than median filtering.

scholarly journals A Synthetic Aperture Radar Image Model of Ship on Sea

2018 ◽  
Vol 173 ◽  
pp. 01027
Author(s):  
Tong Wang ◽  
Chuang-ming Tong ◽  
Qian Gao ◽  
Xi-min Li
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture Radar Image ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Double Scattering ◽  
Image Model ◽  
Ship Detection ◽  
Direct Scattering ◽  
The Relationship ◽  
Aperture Radar

Double scattering between the ship and sea surface is an important characteristic for ship detection. Based on geometrical optics (GO), a modified GO-GO solution is presented to evaluate the double scattering from sea and the tilt facets of ship at high frequency. Direct scattering contributions from ship and sea are evaluated by using physical optics (PO). To get a synthetic aperture radar (SAR) image, double bounce and shadow effects on range dimension of SAR image are considered. The results show the relationship between the azimuth angle and the scattering power. The research on SAR image of ship-sea and results about double scattering between ship and sea have a great application value in ship detection from SAR image.

scholarly journals Despeckling and Analysing Land Use Land Cover of Synthetic Aperture Radar Image

2019 ◽  
Vol 8 (10) ◽  
pp. 2827-2831
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Synthetic Aperture Radar ◽  
Speckle Noise ◽  
Synthetic Aperture Radar Image ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Land Use Land Cover ◽  
Sar Imagery ◽  
Aperture Radar

In Image processing, Synthetic Aperture Radar(SAR) images are inherently affected by speckle noise, which visually degrades the appearance of the images and may severely affect the quality of SAR image interpretation tasks like object detection or target detection, instance segmentation and image analysis. Hence SAR image Despeckling becomes a hot research issue. In this paper, the proposed method Total Variation (TV) Denoising is used to address this issue. It is applied to SAR imagery to decrease the noise. It is a filtering method which works efficiently. The process of decreasing the speckle noise is known as Despeckling. When there is noise in the image the actual data is affected. The actual meaning of noise is unwanted signal. Noise is an undesirable by-product in an image that disturbs the original image. On removal of noise, it results in the noise free SAR image. The Land Use Land Cover (LULC) analysis of a SAR image can be accurate when there is no noise in the SAR image. Therefore the main aim of this paper is to analyze the land use and land cover (LULC) in the despeckled high resolution image.

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