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To explore anisotropic information embedded among sub-aperture SAR images, we propose polarimetric sub-aperture singular value decomposition, where polarimetric and anisotropic features are simultaneously decomposed. The decomposed singular values and left singular vectors are equivalent to eigen-analysis-based polarimetric target decomposition, while the right singular vectors give the corresponding...
This letter depicts a ship detection scheme for synthetic aperture radar images, utilizing a segmentation based global iterative censoring algorithm. In the proposed scheme, the fuzzy local information c-means clustering (RFLICM) algorithm is adopted to partition the inhomogeneous SAR image into numerous homogeneous sub-regions, thereby eliminating the performance degradation caused by SAR image inhomogeneity...
It is the basis of realization ship recognition to accurately extract geometric parameters of the ship target in synthetic aperture radar (SAR) images. Due to the unique SAR imaging mechanism, speckle noise, azimuth ambiguity and side lobe effect seriously impact on geometric parameter estimation of the ship target. Therefore, a method is presented to extract geometric parameters of the ship based...
In this paper, we address the problem of ship detection in PolSAR image. We firstly investigate the differences of scattering mechanism between ship targets and the sea surface based on the polarimetric similarity analysis. It is shown that, the sea surface scattering is dominated by the odd bounce (denoted as r1), while the scattering of ship targets are both dominated by the even bounce scattering...
In this letter, an improved kernel density estimation (KDE) constant false alarm rate (CFAR) method is proposed for ship detection in single polarization synthetic aperture radar (SAR) images. The proposed method consists of a target enhancement filter, an adaptive KDE bandwidth estimation method and an improved KDE-CFAR. The gravity-based target enhancement filter is utilized to remove the inhomogeneity...
Technology for marine vessel monitoring and analysis combining Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) is presented in this paper. Detection results in SAR image are validated and analyzed with corresponding AIS information. In order to evaluate the performance of the techniques, nine ERS-2 SAR images covering the year 2007 and corresponding AIS polls are used. The...
With the rapid development of spaceborne Synthetic Aperture Radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of very great importance. Focusing on practical problems of adaptive ship detection, this paper present a highly adaptive ship detection method for spaceborne SAR imagery. It applies two different detection strategies to...
A new threshold template algorithm is presented in this paper to improve the performance in ship detection in high-resolution synthetic aperture radar (SAR) images. The algorithm introduces SAR formation theories into detection. First, we divide the image into tiles within which the sea background can be treated as homogeneous one. Second, we use a threshold template method to detect candidate ship...
The widespread access to Synthetic Aperture Radar data has created a need for more precise ship extraction, specifically in low-to-medium resolution imagery. While Synthetic Aperture Radar pixel resolution is improving for a large swaths, information about ships from within the Synthetic Aperture Radar intensity imagery is still sparse. Ships that are a few pixels across provide little information...
The German Aerospace Center has opened the TanDEM-X science phase in order to demonstrate new Synthetic Aperture Radar techniques and applications. In particular, the TanDEM-X pursuit monostatic configuration has been switched on from October 2014 till February 2015. This paper investigates the use of the two TanDEM-X satellites to acquire a pair of independent SAR data in single and multi-polarization...
In this paper, a method is proposed for ship detection in poalrimetric SAR imagery. Polarimetric SAR image is decomposed into a sparse ship component and a sea clutter component. Then hierarchical priors of the latent variables associated with the components are introduced, and variational Bayesian inference is used to estimate the expectations of the latent variables. The proposed method is an automatic...
Ship target detection using PolSAR data has been an active research area and many algorithms have been developed in recent years. In this paper, we present a new method based on the difference between the ship pixels and background pixels, using a model similar to LBP (Local Binary Pattern). After that, the polarimetric signature method, namely, the SPAN (total power) detector, is used to detect ships...
Every day, ships of different type, size and origin cross the world seas. Not only for commerce and transport, but also for illegal activities. In addition to conventional positioning and tracking systems, detection with Earth observation satellites is an effective means to monitor human movements across the sea. The European Copernicus Programme operates towards this goal, through the definition...
Efficient and effective ship discrimination across multiple Synthetic Aperture Radar sensors is becoming more important as access to SAR data becomes more widespread. A flexible means of separating ships from sea is ideal and can be accomplished using machine learning. Newer, advanced deep learning techniques offer a unique solution but traditionally require a large dataset to train effectively. Highway...
The technology of specific target detection and recognition in Synthetic Aperture Radar (SAR) image is one of the most important issues especially in the area of remote sensing observation. Aiming at ship detection in complex scenario, this paper presents a universal framework and a novel method called Speed-up Seed point OTSU (SSOTSU) based on OTSU and invoked in the framework. Different from the...
According to the characteristics of the Doppler history in ScanSAR mode, a novel ship detector is presented based on the raw echo data. The proposed approach is very efficient, since it does not need the computational imaging process. Its effectiveness is validated by an airborne ScanSAR real data set, collected by a C-band experimental system.
This paper focuses on the problem of maritime surveillance for ship detection and proposes a novel monostatic SAR high resolution wide swath imaging scheme. The scheme changes the way that Scan SAR illuminates sub-scenes, and proposes a scanning mode using the prior information of ships' spatial distribution in each sub-scene. Firstly, a method based on range profiles is used to obtain the target...
Monitoring ocean vessels that are not near the coast is difficult and expensive. One way of overcoming this is through the use of SAR satellite platforms. To monitor the largest possible area would require the use of course resolution SAR images which reduce even the largest ships to several pixels. This paper covers the datasets, methods and results used to arrive at a machine learning algorithm...
Land masking is one of the most important stages for ship detection in synthetic aperture radar (SAR) images. However, a fast and efficient algorithm for land masking in SAR images is far from resolved. Current land masking algorithms are time-consuming or not accurate enough for ship detection in SAR images. In this paper, an algorithm for land masking is proposed. It is designed for ship detection...
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