<tt id="ilyrw"><tbody id="ilyrw"><del id="ilyrw"></del></tbody></tt>
    <cite id="ilyrw"><form id="ilyrw"><delect id="ilyrw"></delect></form></cite>
  • <rt id="ilyrw"></rt>
    <thead id="ilyrw"></thead>

      <rt id="ilyrw"><meter id="ilyrw"></meter></rt>

    1. <tt id="ilyrw"><form id="ilyrw"><delect id="ilyrw"></delect></form></tt>
      <rt id="ilyrw"><nav id="ilyrw"></nav></rt>

        <cite id="ilyrw"></cite>

        1. <rt id="ilyrw"><nav id="ilyrw"><button id="ilyrw"></button></nav></rt>

          <cite id="ilyrw"><span id="ilyrw"><samp id="ilyrw"></samp></span></cite>
            1. <source id="ilyrw"></source>
            2. <rp id="ilyrw"></rp>
            3. 收藏本站
              收藏 | 投稿 | 手機打開
              二維碼
              手機客戶端打開本文

              Sonar Image Registration and Mosaic Based on Line Detection and Triangle Matching

              LIU Tao  ZHANG Xuguang  WANG Yuxi  FANG Yinfeng  GUO Chunsheng  
              【摘要】:Image registration is an important research topic in the field of computer vision, in which the registration and mosaic of side-scan sonar images is the keypoints of underwater navigation. However, the image registration method of keypoints is not suitable for sonar images which do not have obvious feature points.Therefore, a method of sonar-image registration and mosaic based on line segment extraction and triangle matching is proposed in this paper. Firstly, in order to extract features from sonar image, the LSD method is introduced to detect line feature from images, and line segments are filtered by the principle of attention; after that,triangles are formed from line segments, an image transformation matrix can be calculated through the heuristic greedy algorithm from these triangles; finally, images are merged based on the transformation information. On the basis of practical tests, it is found that, the feature extraction method used in this paper can better describe the outline of underwater terrain, and there is no obvious stitching gap between the result of sonar images stitched.Experimental results show that the proposed method is effective than the keypoints method of the registration and mosaic of sonar images.
              下載App查看全文

              (如何獲取全文? 歡迎:購買知網充值卡、在線充值、在線咨詢)

              CAJViewer閱讀器支持CAJ、PDF文件格式,AdobeReader僅支持PDF格式


              知網文化
              【相似文獻】
              中國期刊全文數據庫 前3條
              1 Lihua ZHANG;Xianpeng LIU;Shuaidong JIA;Yan SHI;;A Line-Surface Integrated Algorithm for Underwater Terrain Matching[J];Journal of Geodesy and Geoinformation Science;2019年04期
              2 Zeyang ZHOU;Jun HUANG;;An optimization model of parameter matching for aircraft catapult launch[J];Chinese Journal of Aeronautics;2020年01期
              3 鄧志紅;盧文典;王博;付夢印;;Unequal-interval data fusion algorithm for inertial/gravity matching integrated navigation system[J];Journal of Beijing Institute of Technology;2016年03期
              中國重要會議論文全文數據庫 前2條
              1 Xueshu Qin;Mingzhong Yan;Daqi Zhu;;Research on Information Fusion Structure of Radar and AIS[A];第30屆中國控制與決策會議論文集(3)[C];2018年
              2 Yueting Li;Chenglong Wang;Jia Zhang;Bo Wang;;Selection Method of the Matching Area of Underwater Gravity-Aided Inertial Navigation Based on Vector Characteristics[A];第三十九屆中國控制會議論文集(3)[C];2020年
              中國知網廣告投放
               快捷付款方式  訂購知網充值卡  訂購熱線  幫助中心
              • 400-819-9993
              • 010-62982499
              • 010-62783978


              中文字幕视频二区人妻,欧美成人无码A片视频,亚洲乱码中文字幕综合,亚洲在战AV极品无码