计算机应用 ›› 2013, Vol. 33 ›› Issue (03): 708-711.

• 多媒体处理技术 • 上一篇    下一篇

基于可见光的海上船舶油井平台遥感检测

孟若琳1,2,3,邢前国1,2*   

  1. 1.中国科学院烟台海岸带研究所 中国科学院海岸带环境过程重点实验室,山东 烟台 264003;
    2.中国科学院烟台海岸带研究所 山东省海岸带环境过程重点实验室,山东 烟台 264003;
    3.中国科学院大学,北京 100049
  • 收稿日期:2012-09-04 修回日期:2012-10-08 出版日期:2013-03-01 发布日期:2013-03-01
  • 通讯作者: 孟若琳
  • 作者简介:孟若琳(1987-),女,山东滨州人,硕士研究生,主要研究方向:遥感图像处理、地理信息系统时空分析; 邢前国(1975-),男,湖北广水人,副研究员,博士,主要研究方向:海岸带环境遥感。
  • 基金资助:

    国家海洋局海洋溢油鉴别与损害评估技术重点实验室开放基金资助项目(201208)。

Detection of offshore ship and well platform based on optical remote sensing images

MENG Ruolin1,2,3,XING Qianguo1,2*   

  1. 1.Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong 264003, China;
    2.Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong 264003, China;
    3.University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-09-04 Revised:2012-10-08 Online:2013-03-01 Published:2013-03-01

摘要: 针对目前海上船舶油井提取多是使用已有的非实时陆地岸线提取海域,并且提取算法缺少在大尺度影像上搜索和查找可能存在目标能力的问题,提出一种基于可见光遥感数据的船舶油井检测策略。该策略主要包括综合形态学运算提取海域、目标有无判定算法、迭代最优阈值分割(TS)滑动窗口(SW)目标提取三个部分。探讨了目标有无判定算法中的参数设置和滑动窗口的大小设置,并将提取结果与人工目视解译结果进行了交叉对比验证。结果表明,该策略通过设置合理的参数,可使目标提取的真实精度达到0.981,相对精度达到0.954,表现出较高的实用性。

关键词: 船舶油井检测, 形态学运算, 目标有无判定算法, 迭代最优阈值分割, 滑动窗口

Abstract: To improve situations as follows: in the strategies of offshore ship and well platform detection, most masks of sea zones use non-real time shoreline database; targets seeking algorithms lack capability of searching targets in large scale images, a strategy of ship and well platform detection based on optical remote sensing images was proposed. The strategy included building masks of sea zones using morphological operations, determining decision algorithms of targets' existence, and extracting targets' locations based on iterative optimal Threshold Segmentation (TS) in Sliding Windows (SW). Parameters in the decision algorithm and the size of sliding window were analyzed, and the corresponding results were cross validated with that of artificial visual interpretation. The experimental results prove that the absolute accuracy of targets extraction arrives 0.981 while relative accuracy of targets extraction arrives 0.954 with proper parameters set. This strategy shows practical value.

Key words: ship and well platform detection, morphological operation, decision algorithm of target existence, iterative optimal Threshold Segmentation (TS), Sliding Window (SW)

中图分类号: