Detection of Boulders in Side Scan Sonar Mosaics by a Neural Network
نویسندگان
چکیده
منابع مشابه
Automatic Rectification of Side-scan Sonar Images
The authors present a novel procedure for the automated rectification of side-scan sonar images. The traditional assumption of a flat seabed for the computation of the ground projection from the slant-range sonar data can later result in difficult geo-referencing and registration problems. Accurate rectification using actual seabed topography is required for precise integration of side-scan ima...
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INTRODUCTION: SSS has been used to map the sea bottom and search for submerged objects since the 1960's (Fleming, 1976). Recent experiments by CERC and the Buffalo District have shown SSS to be useful for inspecting both sloping coastal structures (i.e., rubble-mound jetties and breakwaters) and vertical-wall structures (i.e., concrete caissons and timber cribs). SSS is an adaptation of high-fr...
متن کاملHeight Estimation of a Sonar Towfish from Side-Scan Imagery
The algorithm described uses a combination of Haar wavelet decomposition and Kalman filtering to track the noisy echoes. This was able to compute the towfish height on the fly with a minimal delay and without thresholding. Its performance is demonstrated using real side-scan sonar data and is shown to be robust with respect to the great variation in echo level (including drop-outs) and to the p...
متن کاملA Side Scan Sonar Image Target Detection Algorithm Based on a Neutrosophic Set and Diffusion Maps
To accurately achieve side scan sonar (SSS) image target detection, a novel target detection algorithm based on a neutrosophic set (NS) and diffusion maps (DMs) is proposed in this paper. Firstly, the neutrosophic subset images were obtained by transforming the input SSS image into the NS domain. Secondly, the shadowed areas of the SSS image were detected using the single gray value threshold m...
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ژورنال
عنوان ژورنال: Geosciences
سال: 2019
ISSN: 2076-3263
DOI: 10.3390/geosciences9040159