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This paper develops a flexible time-domain SAR imaging algorithm that is capable of accounting for somewhat arbitrary flight track geometries and platform orientations. The proposed technique casts SAR imaging as a maximum likelihood estimation problem where the ground reflectivities are taken as the parameters to be estimated. It is shown that conventional back projection is one of two steps required...
In this paper a new detection method for sonar imagery is developed for K-distributed background clutter using a finite mixture model (FMM) of K-distributions. The method for estimation of the parameters of the FMM and a generalized log-likelihood ratio test is derived. The detector is compared to the corresponding counterparts derived for the standard K-, Gaussian, and Rayleigh distributions. Test...
In this paper, a new classification scheme of fully polarimetric SAR images is proposed. This is based on the joint use of the Freeman-Durden decomposition and generalized discriminant analysis, a new method for Feature extraction. After getting the powers of the three scattering mechanism components through Freeman-Durden decomposition, the Feature extraction algorithm is introduced to well exploit...
Being one of the key transportation targets, airport detection is of great importance in military and civil applications. In this paper we propose a new method based on perceptual organization for airport detection in large SAR image. Since the runways are the most obvious characteristic of the airport, we first design belief functions for the runway features, which include collinearity, proximity,...
Based on a recent proposed and popular sparse representation based classifier (SRC), in this paper we presented a novel Learning Sparse Representation based Clustering (LSRC) scheme for Synthetic Aperture Radar (SAR) segmentation. LSRC introduces the examples-based dictionary learning technology in SRC to find a dictionary that is adaptable to sparsely representing samples, which is liable to provide...
Ambiguities in SAR image are very common phenomena. For maritime applications, as the high intensities of the ambiguities in low radar backscatter background of sea environments, they can be mistaken as targets and cause false alarms in ship detection. Thus, through the analysis of polarimetric characteristics of ships and ambiguities, we propose a ship detection method which applies the eigenvalue...
The full polarimetric information of the target from polarized Synthetic Aperture Radar (POLSAR) enables us to implement recognition and classification of remote sensing images more effectively. Based on the analysis of typical polarized target decomposition and classification, the issue proposes a new scheme for iterative classification of polarimetric SAR image, which blends the outcomes of Yamaguchi...
In unwrapping interferograms with large size and dense residues, the path-following algorithm as a fundamental unwrapping method may produce retrieval error caused by long branch-cuts and repetitive connection of residues. In this paper, two unwrapping algorithms, i.e. the multiple patches method connecting opposite residues and the center expansion method searching opposite residues, are alternatively...
Public safety concerns have been raised by potential safety problems due to deformation of infrastructures such as railways, highways and bridges. Monitoring the deformation of large-scale man-made linear objects (LMLO) by permanent scatters (PS) interferomerty would be critical to prevent this kind of disasters. However, the estimation of LMLO deformation is sensitive to the influence of those random...
Multiplicative speckle noise is always present in synthetic aperture sonar (SAS) images, which is due to the coherent nature of scattering phenomena. Many methods that reduce speckle noise while preserving texture and detail have been developed for SAR and presented in the literature. In this paper, some speckle reduction techniques from SAR images are adapted and applied to SAS high resolution images...
Speckle noise is one of the most critical disturbances that alter the quality of Synthetic Aperture Radar (SAR) coherent images. Before using SAR images in automatic target detection and recognition, the first step is to reduce the effect of speckle noise. Several adaptive and non-adaptive filters are widely used for despeckling in SAR images. In this paper, an adaptive mathematical morphological...
The Velocity SAR (VSAR) is a SAR-based sensor system for high resolution imaging of moving scenes such as the ocean surface. VSAR utilizes data collected by a multi-element SAR system, to extract information not only about the radar reflectivity of the observed area, but also about the radial velocity of the scatterers in each pixel. This is accomplished by making use of the phase information contained...
This paper addresses an adaptive coregistration method of synthetic aperture radar interferometry (InSAR) phase images. The method for adaptive coregistration of InSAR images is characterized by using multisource information and joint data fusion. We propose a strategy and criteria incorporating the weighted joint data information to evaluate the accuracy of the registered method by the using the...
Multi-polarized L-band Synthetic Aperture Radar is investigated for its potential to screen earthen levees for weak points. Various feature detection and classification algorithms are tested for this application, including both radiometric and textural methods such as grey-level co-occurrence matrix and wavelet features.
Image matching is one of the key steps in Processing of InSAR. In order to improve the reliability and the rate of matching, a fast least squares matching algorithm with one-dimensional azimuth searching was proposed. The interferometric SAR images obtained by space-borne ERS-1/2 and by airborne dual-antenna system were employed to do experiments of matching. The results show that the proposed one-dimensional...
In this paper, an improved joint subspace projection method for synthetic aperture radar interferometry (InSAR) interferogram filtering is proposed. Benefiting from the new formulation of joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase, thus avoiding the effect on the estimation of the InSAR interferometric phase...
To solve the inefficiencies and high false alarm probability problem of the target detection in synthetic aperture radar (SAR) images and to improve the weakness of the two-parameter CFAR detector, a fast constant false alarm rate(CFAR) algorithm based on Weighted Parzen-window clustering (WPWC) is proposed. The principles and flow of the WPWC algorithm is introduced and a fast two parameter CFAR...
The target aspect estimation is important to Synthetic Aperture Radar Automatic Target Recognition (SAR ATR). Due to the nature of SAR imaging, the front edges are comparatively distinct and stable features in target images, and are suitable for target aspect estimation. In this paper, a new method is proposed for target aspect estimation. A simple adaptive threshold processing is used to extract...
The performance of interferometric synthetic aperture radar (INSAR)-based objects identifying in sea environment with clutter background is researched by many literatures, but most of them are mainly about detecting dynamic objects, such as ship targets. A new method is presented in this paper, which utilizes SAR image and point target analysis method to identify islands on sea surface in near and...
SAR images are affected by speckle noise which needs to be suppressed. An ideal speckle reduction method must smooth noise and preserve detail both. However, there is a tradeoff between such two goals for many methods. This paper proposes a speckle reduction method based on hyperspectral and SAR image fusion. It combines the coherent portions from MNF transformation for hyperspectral image and the...
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