Target Detection In Sar Images Based On Sub-Aperture Coherence And Phase Congruency

Zhang, Zhen; Wang, Xin; Xu, Lizhong

doi:10.1080/10798587.2012.10643292

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Due to the property of being constant to image contrast and the identification of various types of features, the phase congruency model has been widely used in SAR image processing, such as image registration [7], target detection [32] and image segmentation [33]. However, in these applications, the phase congruency model is directly applied to the raw SAR image or the logarithm of the SAR image, which also suffers from speckle noise [34].…”

Section: Methodsmentioning

confidence: 99%

An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite

Xiang

Wang

You

2018

Sensors

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The Chinese GF-3 satellite launched in August 2016 is a Synthetic Aperture Radar (SAR) satellite that has the largest number of imaging modes in the world. It achieves a free switch in the spotlight, stripmap, scanSAR, wave, global observation and other imaging modes. In order to further utilize GF-3 SAR images, an automatic and fast image registration procedure needs to be done. In this paper, we propose a novel image registration technique for GF-3 images of different imaging modes. The proposed algorithm consists of two stages: coarse registration and fine registration. In the first stage, we combine an adaptive sampling method with the SAR-SIFT algorithm to efficiently eliminate obvious translation, rotation and scale differences between the reference and sensed images. In the second stage, uniformly-distributed control points are extracted, then the fast normalized cross-correlation of an improved phase congruency model is utilized as a new similarity metric to match the reference image and the coarse-registered image in a local search region. Moreover, a selection strategy is used to remove outliers. Experimental results on several GF-3 SAR images of different imaging modes show that the proposed algorithm gives a robust, efficient and precise registration performance, compared with other state-of-the-art algorithms for SAR image registration.

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Section: Methodsmentioning

confidence: 99%

An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite

Xiang

Wang

You

2018

Sensors

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“…Due to the property of being constant to image contrast and the identification of various types of features, the phase congruency model has been widely used in SAR image processing, such as image registration [26,27], target detection [28], edge detection [29], and image segmentation [30]. However, in these applications, the phase congruency model is applied directly to the raw SAR image or the logarithmic SAR image, which suffers from the effect of the speckle noise.…”

Section: Methodsmentioning

confidence: 99%

SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model

et al. 2017

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Edge detection in Synthetic Aperture Radar (SAR) images has been a challenging task due to the speckle noise. Ratio-based edge detectors are robust operators for SAR images that provide constant false alarm rates, but they are only optimal for step edges. Edge detectors developed by the phase congruency model provide the identification of different types of edge features, but they suffer from speckle noise. By combining the advantages of the two edge detectors, we propose a SAR phase congruency detector (SAR-PC). Firstly, an improved local energy model for SAR images is obtained by replacing the convolution of raw image and the quadrature filters by the ratio responses. Secondly, a new noise level is estimated for the multiplicative noise. Substituting the SAR local energy and the new noise level into the phase congruency model, SAR-PC is derived. Edge response corresponds to the max moment of SAR-PC. We compare the proposed detector with the ratio-based edge detectors and the phase congruency edge detectors. Receiver Operating Characteristic (ROC) curves and visual effects are used to evaluate the performance. Experimental results of simulated images and real-world images show that the proposed edge detector is robust to speckle noise and it provides a consecutive edge response.

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“…Refs. [6][7][8][9][10][11][12][13] take a good overview of them, including multi-looking, Displaced Phase Center Antenna (DPCA), Along Track Interferometry (ATI), mono-pulse processing and signal Space Time Adaptive Processing (STAP).…”

Section: Introductionmentioning

confidence: 99%

A Novel Moving Target Detection Approach for Dual-Channel Sar System

Tian¹,

Zhu²,

Zhu³

2011

PIER

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Abstract-A novel approach to moving target detection is proposed for dual-channel SAR system. This approach is on the basis of eigendecomposition of the sample covariance matrix and examines the statistic of the second eigenvalue and the Along-Track Interferometric (ATI) phase for ground moving target indication. Based on this statistic, a new Constant False Alarm Rate (CFAR) detector can be designed to solve the problem of GMTI. To detect slow moving targets more accurately, the second eigenvalue and the ATI phase prethresholds are implemented before a CFAR detector. Experimental results on measured SAR data are presented to demonstrate that this novel detector has wider range of detection velocity and lower false alarm probability.

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Target Detection In Sar Images Based On Sub-Aperture Coherence And Phase Congruency

Cited by 6 publications

References 12 publications

An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite

An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite

SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model

A Novel Moving Target Detection Approach for Dual-Channel Sar System

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