空间约束FCM与MRF结合的侧扫声呐图像分割算法.pdf,针对侧扫声呐图像斑点噪声强、目标分割困难的问题,提出了一种基于空间约束的快速模糊C均值聚类(SCFFCM)与马尔可夫随机场(MRF)相结合的分割算法。为克服噪声干扰,该算法首先基于贝叶斯最大后验概率理论在非下采样Contourlet变换域去除声呐图像中的强斑点噪声;然后为加快分割速度,提出SCFFCM算法,该算法用于给出一个较好的初始分割;接着由初始分割计算MRF模型的约束场,再根据图像邻域内灰度波动情况自适应更新结合权值,进而求解得到FCM模糊场与MRF约束场的联合场,并基于最大概率准则得到分割结果;最后,采用形态学去除分割结果中的孤立噪点,并完成孔洞填充。对仿真及实际的侧扫声呐图像的分割实验结果表明,所提算法较FCM和现有的一些FCM改进算法有更强的抗噪能力、更高的分割精度以及更快的运算速度。
2022-06-16 10:59:36 4.89MB 论文研究
1
从核心技术看侧扫声呐
2022-05-26 12:05:44 1.36MB 源码软件
1
Hydrographic DATA ACQUISITION AND PROCESSING OPR-J348-KR-17_DAPR.pdf
2022-05-17 19:09:59 623KB 源码软件
1
侧扫声呐,声呐性能指标,声呐图像
2022-04-20 18:08:32 384KB 声呐技术
1
侧扫声呐的基本模型和理解,熟悉了解其原理
2019-12-21 21:29:54 13.39MB 侧扫声呐
1
侧扫声呐FCN图像分割。。其中包括与C-mean的对比。与改进后的G-FCN,BEMD-FCN代码。并附20张声呐原始图像
2019-12-21 18:52:27 1.14MB 图像分割FCN
1
Seafloor surveying with acoustic remote sensing has become a powerful tool for researchers and professionals seeking knowledge about the structure and behavior of the seafloor. In particular, sidescan sonar is proving to be the preeminent technique, but its data is often difficult to interpret due to the physics of acoustic remote sensing, and to the varied geological processes at play. This handbook not only presents all the fundamentals but also explains how to interpret sidescan sonar imagery and bathymetry. It fully explores the most recent advances, both in the technology and in the knowledge of marine structures, and provides deep insights for interpretation and decision-making. Broadly expanded and updated from the previous 1997 "Handbook of Seafloor Sonar Imagery," this handbook is indispensable to oceanographers, resource exploiters, telecommunications engineers, and marine researchers of all kinds.
2019-12-21 18:49:05 10.78MB 侧扫声呐
1