Abstract
The linear structures in synthetic aperture radar (SAR) images can provide important geometric information regarding the illuminated objects. However, the linear structures of various objects sometimes disappear in traditional SAR images, which severely affects the application in automated scene analysis and information extraction techniques. This paper proposes a parametric SAR image recovery method for linear structures of extended targets. By extracting the spatial phase distribution feature in image domain, the proposed method is used to identify the endpoints among all of the scattered points in SAR images and reconstruct the disappeared linear structures based on the scattering model. The method can be generally divided into three procedures: endpoints and point targets classification, linear structures recognition, and linear structures reconstruction. In the first step, the endpoints of linear structures and point targets are classified by setting a threshold related to the spatial phase distribution feature. Afterwards, the linear structures recognition method is used to determine which two endpoints can be formed into a linear structure. Finally, the parametric scattering models are used to reconstruct the disappeared linear structures. Experiments are conducted on both computer simulations and the data that were acquired by microwave anechoic chamber experiment, tower crane radar experiment, and unmanned vehicle radar experiment in order to validate the effectiveness and robustness of the proposed method.
Highlights
With its all-weather, all-day, and high-resolution capabilities, synthetic aperture radar (SAR) has been widely applied in automatic targets recognition and information extraction techniques
The results clearly show that the disappearance of linear structure AB and linear structures CD when the radar platform miss the normal plane of the lines and it is difficult to identify the scattered points
This paper proposed a parametric SAR image recovery method for linear structures for distributed targets
Summary
With its all-weather, all-day, and high-resolution capabilities, synthetic aperture radar (SAR) has been widely applied in automatic targets recognition and information extraction techniques. In addition to multi-aspect SAR imaging, a new feature enhancement approach for linear structures has attracted the attention of researchers working in the field of the restoration of SAR images This approach can extract the anisotropic characteristics of scattered points in the wide-angle SAR image that is based on the iterative re-weighted Tikhonov regularization (IRWTR) [21]. We propose a linear structures recovery method for a SAR image based on spatial phase distribution feature This method has the ability to identify the endpoints of the linear structures from the scattered points in SAR image via two side-observations and reconstruct linear structures.
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