The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we propose a novel object detection algorithm for underwater environments exploiting multiscale graph-based segmentation. The graph-based approach to image segmentation is fairly independent from distortion, color alteration and other peculiar effects arising with light propagation in water medium. The algorithm is executed at different scales in order to capture both the contour and...
In mine-hunting operations, there is currently a strong focus on using autonomous systems in order to remove personnel and ships from the minefield. These systems must perform their missions effectively, and the collected data should be exploited efficiently in order to maximize performance. Automatic target recognition (ATR) is a key enabling component of achieving this goal. Whilst immense progress...
A prior parameter estimation method based on local center-encoding (LCE) is proposed for a Markov random field (MRF) model, i.e. the Ising case, in the task of image segmentation. The LCE algorithm makes efficient use of the local information in the image, avoiding the exclusion of certain blocks as in the least square (LSQR) algorithm. In addition, LCE doesn't require complex matrix computations,...
Multibeam Echosounder (MBES) is increasingly becoming suitable for marine habitat mapping and various classification methods, diversifying in terms of classification algorithms, automation and MBES involved data features, are requiring scientific attention. On the other hand, the improved quality and volume of MBES data, as well as the increased demand for mapping products, is driving the desire for...
This paper proposes a promising new approach to detect underwater threats in side scan sonar (SSS) images without machine learning procedure. Although object detection requires high reliability, the maritime environment changes unpredictably and dynamically. In order to accomplish high reliability for object detection systems, a huge number of the samples under various different environments are required...
Underwater image segmentation is a key step for the analysis of the underwater target as segmentation quality will directly affect the stability and reliability of target recognition and tracking. A novel segmentation method is proposed in this paper that can help to solve the edge expansion and contour deformation problems in traditional segmentation methods. Firstly, the dark channel prior algorithm...
A spatially constrained kernel fuzzy C-means (SCKFCM) algorithm is represented for polarimetric SAR (PolSAR) remote sensing image segmentation in this paper. Compared with classic fuzzy C-means (FCM) algorithm, kernel method could perform the nonlinear mapping from the original space to kernel space. Thus, SCKFCM is not impacted by the remote sensing image data distribution. Furthermore, in order...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.