Wang Da, Bian Hongyu. Underwater Acoustic Image Multi-resolution Fusion Research[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 77-82.
Citation: Wang Da, Bian Hongyu. Underwater Acoustic Image Multi-resolution Fusion Research[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 77-82.

Underwater Acoustic Image Multi-resolution Fusion Research

More Information
  • Received Date: May 31, 2013
  • Published Date: January 04, 2015
  • An image fusion algorithm based on gradient pyramid is proposed which takes advantage of image characteristics of underwater sonar environment .First,the gradient pyramid transform was imposed on registrated sonar images .Second,an activity and match measure were constructed based on the local neighborhood of the images. The local neighborhood feature of images was considered as a fusion strategy. Finally,the fusion image was obtained through synthesis module and multi-scale inverse transform. Experiments revealed that the new algorithm is effective under objective evaluation criteria in the absence of a standard reference image.
  • Related Articles

    [1]ZHONG He-ping, LI Han, TIAN Zhen, HUANG Pan, TANG Jing-song. Complex Image Registration for Interferometric Synthetic Aperture Sonar based on Local Coherence Method[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20220762
    [2]HUO Liang, DUAN Yuanjing, ZHU Yi, SHEN Tao, ZHANG Xiaoyong, ZHAI Jialei, FU Jiying. Multi-scale Expression Method for Urban 3D Model Considering Local Features[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1282-1287. DOI: 10.13203/j.whugis20200148
    [3]LU Xuan, WANG Dingwen, SHI Wenxuan. Image Super-resolution with On-line Dictionary Learning[J]. Geomatics and Information Science of Wuhan University, 2018, 43(5): 719-725. DOI: 10.13203/j.whugis20150753
    [4]WANG Aixue, ZHAO Jianhu, GUO Jun, WANG Xiao. Elastic Mosaic Method in Block for Side-Scan Sonar Image Based on Speeded-Up Robust Features[J]. Geomatics and Information Science of Wuhan University, 2018, 43(5): 697-703. DOI: 10.13203/j.whugis20150706
    [5]HUANG Qiuyan, FENG Xuezhi, XIAO Pengfeng. An Approach for Linear Feature Detection from Remote Sensing Images withHigh Spatial Resolution Based on Sparse Decomposition[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 913-917. DOI: 10.13203/j.whugis20130252
    [6]LIU Fanming, YAO Jianqi, LI Yan. Local Analysis Method on the Marine Gravity Matching Area Based onSkeleton Extraction[J]. Geomatics and Information Science of Wuhan University, 2014, 39(4): 428-434. DOI: 10.13203/j.whugis20120115
    [7]ZHU Xianqiang, HUANG Jincai, SHAO Zhenfeng, CHENG Guangquan. A New Approach for Interesting Local Saliency Features Definition and Its Application to Remote Sensing Imagery Retrieval[J]. Geomatics and Information Science of Wuhan University, 2013, 38(6): 652-655.
    [8]GUO Lin, CHEN Qinghu. Adaptive Super-Resolution Reconstruction of Image Sequences with Structure Preserving[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 548-551.
    [9]JIANG Zhijun, YI Huarong. An Image Pyramid-Based Feature Detection and Tracking Algorithm[J]. Geomatics and Information Science of Wuhan University, 2007, 32(8): 680-683.
    [10]ZHU Junjie, FAN Xiangtao, DING Chibiao, LI Yulong. A Fusion Method of High-resolution Images Considering Spectral Distortions[J]. Geomatics and Information Science of Wuhan University, 2006, 31(10): 858-861.
  • Cited by

    Periodical cited type(8)

    1. 曾志勇,刘光宇,曹禹,赵恩铭,邢传玺. 结合PCNN和局部能量的NSST域声呐图像融合. 西北大学学报(自然科学版). 2023(02): 248-255 .
    2. 章宁,金绍华,边刚,肖付民. 多波束与侧扫声呐图像的迭代自适应配准方法. 测绘学报. 2022(09): 1951-1958 .
    3. 陈海永,余力,刘辉,杨佳博,胡启迪. 基于经验小波的太阳能电池缺陷图像融合. 山东大学学报(工学版). 2018(05): 24-31 .
    4. 王茜,宁纪锋,曹宇翔,韩文霆. 基于SIFT算法的无人机遥感图像拼接技术. 吉林大学学报(信息科学版). 2017(02): 188-197 .
    5. 张健,卞红雨. 非下采样轮廓波变换的前视声呐图像融合. 哈尔滨工程大学学报. 2017(09): 1373-1379 .
    6. 周苑,杨爱云. 基于模糊自适应DT-CWT多聚焦图像融合算法. 激光杂志. 2016(01): 120-123 .
    7. 何文钦,徐红刚,刘全. 塔贝拉水电站扩建工程水库深水探测技术研究. 水利水电技术. 2016(05): 112-115 .
    8. 郭红艳,王淑敏. 基于SGCT的红外与灰度可见光图像融合研究. 应用激光. 2016(01): 112-116 .

    Other cited types(4)

Catalog

    Article views (1020) PDF downloads (625) Cited by(12)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return