sea target detection in polarimetric synthetic aperture radar images
Authors
abstract
study on polsar target detection essentially requires the cattering information and polarimetric statistical data. theoretical analysis shows that some terms of the second order scattering matrices such as coherence and covariance matrix clearly show the differences between nonsymmetrical man-made objects and natural clatters which being reflection symmetric. using the model derived from these terms the automatic target detection and extraction with a constant false alarm rate established. in this model, various capacity of manmade and sea targets in symmetrical reflection studied and polarimetric sar data acquired in l- and c-band have been used to test the proposed methodology showing to be an effective and efficient method to observe metallic targets at homogeneous and non-homogeneous areas of sea, such as detection of ships, oil rigs, building and other structures.
similar resources
The Object Detection Efficiency in Synthetic Aperture Radar Systems
The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...
full textMultifrequency Polarimetric Synthetic Aperture Radar Observations of Sea Ice
The first known fully polarimetric airborne synthetic aperture radar (SAR) data set of sea ice is introduced. Images were acquired in the Beaufort, Bering and Chukchi seas in March 1988, during a campaign for validation of Defense Meteorological Satellite Program Special Sensor Microwave Imager radiometer ice products. Statistics of the magnitude, phase and polarization of complex backscattered...
full textNon-Gaussian Statistical Analysis of Polarimetric Synthetic Aperture Radar Images
This thesis describes general methods to analyse polarimetric synthetic aperture radar images. The primary application is for unsupervised image segmentation, and fast, practical methods are sought. The fundamental assumptions and statistical modelling are derived from the physics of electromagnetic scattering from distributed targets. The physical basis directly leads to the image phenomenon c...
full textOptical images-based edge detection in Synthetic Aperture Radar images
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by Lopez-Molina et al, using the non-standard neighbourhood configuration proposed by Fu et al, to reduce the speckle noise in polarimetric SAR i...
full textSegmentation of polarimetric synthetic aperture radar data
A statistical image model is proposed for segmenting polarimetric synthetic aperture radar (SAR) data into regions of homogeneous and similar polarimetric backscatter characteristics. A model for the conditional distribution of the polarimetric complex data is combined with a Markov random field representation for the distribution of the region labels to obtain the posterior distribution. Optim...
full textPolarimetric Segmentation of Synthetic Aperture Radar Imagery
This paper considers the problem of clutter segmentation in fully polarimetric, high resolution, synthetic aperture radar (SAR) imagery. The goal of segmentation is to partition an image into regions of homogeneous terrain types (grass regions, tree regions, roads, etc.). Three approaches to segmentation are examined: (1) the optimal polarimetric classifier, (2) the optimal normalized polarimet...
full textMy Resources
Save resource for easier access later
Journal title:
رادارجلد ۳، شماره ۳، صفحات ۳۱-۰
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023