The proposed method integrates an improved Smallest Of Constant False Alarm Rate (SO-CFAR) algorithm and a Maximum A Posteriori probability and Markov Random ...
The proposed method integrates an improved Smallest Of Constant False Alarm Rate (SO-CFAR) algorithm and a Maximum A Posteriori probability and Markov Random ...
This paper describes a framework for object segmentation from sidescan sonar acoustic data. The current techniques consume a great deal of computational ...
A Segmentation Framework for Acoustic Sidescan Sonar Images Using Improved Smallest Of Constant False Alarm Rate and MAP-MRF · Environmental Science, Engineering.
A Segmentation Framework for Acoustic Sidescan Sonar Images Using Improved Smallest Of Constant False Alarm Rate and MAP-MRF. 2022-11-14 | Conference paper.
This paper proposes to use deep CNN to segment images of SSS into three parts: highlight areas with objects, regions of shadow and sea-bottom reverberation ...
For high-resolution side scan sonar images, accurate and fast segmentation of sonar images is crucial for underwater target detection and recognition.
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Nov 3, 2022 · Villar et al. [23] proposed a side-scan sonar target segmentation method, which introduced the order statistic-constant false alarm rate (OS- ...
Jan 15, 2020 · In our experiments, we compare the proposed segmentation method with MRF and level set method for images with intensity inhomogeneity [12]. The ...
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Abstract—This paper is concerned with hierarchical Markov random field (MRF) models and their application to sonar image segmentation.