| 孙宝申.高分辨侧扫及合成孔径声纳图像与回波中类似水雷目标计算机检测与分类[J].,2013,32(4):305-311 |
| 高分辨侧扫及合成孔径声纳图像与回波中类似水雷目标计算机检测与分类 |
| Computer aided detection and classification of mine-like objects in high-resolution side scan and synthetic aperture sonar images and waveformsSUN Baoshen |
| 投稿时间：2013-04-08 修订日期：2013-07-08 |
| 中文摘要: |
| 计算机辅助目标识别与分类技术有可能可靠地在海底发现水雷及其它感兴趣的目标，高效省时，一致性强，不受操作员个体因素影响。自90年代以来，是多个研究部门的热点课题。近年来，合成孔径侧扫声纳技术日趋成熟，能提供更高分辨率的声图，更是促进了自动识别与分类的发展。
本文综合评述了高分辨侧扫及合成孔径声纳图像与回波中类似水雷目标- MLO (Mine Like Object)-计算机检测与分类-CAD/CAC（Computer Aided Detection/ Computer Aided Classification）-研究的发展，现状及趋向。 |
| 英文摘要: |
| Computer aided target detection and classification technique may reliably recognize sea mines and other objects interested, highly efficient, output consistent, free of influence of operator’s personal factor. Since early 1990s, it’s been the hot subject of several research institutes. In recent years, the synthetic aperture sonar is ready to provide acoustic images of higher resolution, and inspires the development in automated detection and classification further.
Reviewed and commented in this paper are the development, current status and trend in Computer aided detection/ Computer aided classification in high resolution side scan and synthetic aperture sonar images and echo waveforms for MLOs(mine like objects). |
| DOI：10.11684/j.issn.1000-310X.2013.04.009 |
| 中文关键词: 高分辨侧扫声纳,合成孔径声纳,类水雷目标,MLO,CAD/CAC。 |
| 英文关键词: High resolution side scan sonar, synthetic sonar, Mine like objects, CAD/CAS. |
| 基金项目: |
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