Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution

2020 ◽  
Author(s):  
Oktay Karakus ◽  
Ercan E. Kuruoglu ◽  
Alin Achim
Keyword(s):  
Sea Clutter ◽  
Sar Images ◽  
Rician Distribution

scholarly journals A Modification of Rician Distribution for SAR Image Modelling

2020 ◽  
Author(s):  
Oktay Karakuş ◽  
Ercan E Kuruoglu ◽  
Alin Achim
Keyword(s):  
Statistical Models ◽  
State Of The Art ◽  
Sea Surface ◽  
Superior Performance ◽  
Synthetic Aperture ◽  
Sar Images ◽  
Frequency Bands ◽  
Rician Distribution ◽  
Proposed Model ◽  
Image Modelling

This paper presents a novel statistical model i.e. the Laplace-Rician distribution, for the characterisation of synthetic aperture radar (SAR) images. Since accurate statistical models lead to better results in applications such as target tracking, classification, or despeckling, characterising SAR images of various scenes including urban, sea surface, or agricultural, is essential. The proposed Laplace-Rician model is investigated for SAR images of several frequency bands and various scenes in comparison to state-of-the-art statistical models that include K, Weibull, and Lognormal. The results demonstrate the superior performance and flexibility of the proposed model for all frequency bands and scenes.

Using SAR Images to Detect Ships From Sea Clutter

2008 ◽  
Vol 5 (2) ◽  
pp. 194-198 ◽  
Author(s):  
Mingsheng Liao ◽  
Changcheng Wang ◽  
Yong Wang ◽  
Liming Jiang
Keyword(s):  
Sea Clutter ◽  
Sar Images

Realistic Synthetic Sea-Clutter Generation for Electronically Scanned Radar

2020 ◽  
Author(s):  
Sabrina Machhour ◽  
Stephane Kemkemian ◽  
Pierre-Albert Breton ◽  
Vincent Corretja
Keyword(s):  
Sea Clutter

Edge detection in SAR images of transform domain

2009 ◽  
Vol 29 (9) ◽  
pp. 2402-2405 ◽  
Author(s):  
Zhen MEI ◽  
Wei LIN ◽  
Rui-xia WANG
Keyword(s):  
Edge Detection ◽  
Transform Domain ◽  
Sar Images
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