Scattering mechanism (SM) analysis is a promising technique for ship detection and classification in polarimetric SAR (PolSAR) images. In this paper, a four-component model-based decomposition method incorporating surface, double-bounce, volume and cross-polarized components is proposed for analyzing the SMs of ships. A novel cross-polarized scattering component capable of discriminating betwee...

Data fusion has lately received a lot of attention as an effective technique for several target detection and classification applications in different remote sensing areas. In this work, a novel data fusion scheme for improving the detection accuracy of ship targets in polarimetric data is proposed, based on 2D principal components analysis (2D-PCA) technique. By constructing a fused image from...

Maritime target detection from optical remote sensing images plays an important role in related military and civil applications and its weakness lies in its compromised performance under complex uncertain conditions. In this paper, a novel hierarchical ship detection method is proposed to overcome this issue. In the ship detection stage, based on Entropy information, we construct a combined sal...

Ship detection and classification plays a significant role in naval warfare. Inverse Synthetic Aperture Radar (ISAR) images are being used extensively for feature extraction in ship detection and classification. The classification problem is solved in two steps. The first step is the extraction of features that characterize the target. The second step is to feed the computed feature values to a...

Maritime security includes reliable identification of ship entering and leaving a nation’s territorial waters. Sea target detection from remote sensing imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic services, and naval warfare. Automated systems that could identify a ship could complement existing electronic signal identification...

A polarimetric coherent Time-Frequency (TF) decomposition approach for ship detection is proposed in this paper. At first, the PolSAR data are decomposed in azimuth direction, range direction only or in both directions. Then a novel statistical descriptor called polarimetric TF coherence indicator, is applied to detect maritime targets in different environments. By using polarimetric RadarSat2 ...

Ship detection using marine Synthetic Aperture Radar (SAR) images has been widely persued in recent years since it is a topic of considerable interest in several application concerning environmental monitoring, marine surveillance, fisheries, . . . . However, ship detection is a very complex problem which can hardly be optimized with conventional single-polarization SARs. Radiometric informatio...

This paper presents the algorithm for target point detection using image based methods and sensor networks to monitor the accuracy control for assembling ship blocks in a ship yard area. Dimensional control of the product at all assembling level accounts for a profitable ship production. An accuracy error at each stage accumulates to a higher value which leads to low level of ship productivity....

This paper addresses ship detection in TerraSAR-X single-look high-resolution spotlight data by using a global thresholding approach, which is based on statistical analysis of the test data. The corresponding thresholds were determined separately from the exponential and chi-squared distributions for TerraSAR-X single-polarisation (HH or VV) and dual-polarisation (HH and VV) data. From the resu...

 Abstract---As a part of Maritime Domain Awareness, there is a requirement to detect ships in satellite-borne Synthetic Aperture Radar (SAR) images, which provide wide area ocean surveillance. When ship detection is implemented using a Constant False Alarm Rate (CFAR), statistical theory can be employed to ensure that proper parameters are used to find the thresholds for detection; inaccuracy ...