地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (4): 540-547.doi: 10.3724/SP.J.1047.2012.00540

• 遥感技术与应用 • 上一篇    下一篇

海岸工程变化的BJ-1遥感监测分析

李治1,2, 杜云艳*1, 杨晓梅1, 苏奋振1   

  1. 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101;
    2. 东北林业大学, 哈尔滨 150040
  • 收稿日期:2012-03-18 修回日期:2012-05-18 出版日期:2012-08-25 发布日期:2012-08-22
  • 通讯作者: 杜云艳(1973-),女,博士,副研究员,硕士生导师,研究方向:海洋及海岸带信息系统。duyy@lreis.ac.cn E-mail:duyy@lreis.ac.cn
  • 作者简介:李治(1986-),男,硕士生,研究方向:遥感图像处理与信息提取。lizhi@lresi.ac.cn

The Comparative Study of the Change Detection in Coastal Engineering Using BJ-1 Small Satellite Remote Sensing Data

LI Zhi1,2, DU Yunyan*1, YANG Xiaomei1, Su Fenzhen1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Northeast Forestry University, Harbin 150040, China
  • Received:2012-03-18 Revised:2012-05-18 Online:2012-08-25 Published:2012-08-22

摘要:

海岸工程对海岸带经济发展和生态环境影响很大。随着海岸工程建设迅猛的发展,采用遥感的方法对海岸工程变化进行遥感监测显得尤为重要。本文以北京一号小卫星(BJ-1)资料为数据源,利用多种变化监测的方法对天津港和曹妃甸港区2006年和2010年的海岸工程变化进行监测。结果显示,波段替换法与SVM分类相结合的方法在2个重点研究区域精度最高,其总体精度和Kappa系数分别为92.35%和0.7902;面向对象的方法精度和稳定性其次,其总体精度和Kappa系数分别为91.77%和0.7732。

关键词: "北京一号"小卫星数据, 遥感, 海岸工程, 变化监测

Abstract:

The coastal engineering exerts a great impact on the economic development and ecological environment of the seacoast. Thus, coastal engineering monitoring is a focus in coast zone remote sensing and monitoring. Since the 1980s, satellite remote sensing has become an indispensable technique in detecting the dynamic changes of coastal engineering. The accuracy of changes in coastal engineering is determined by the applicability of data obtained from remote sensing system and the feasibility of the methods in detecting the changes. As a satellite developed by China, the BJ-1 small satellite has already obtained numerous achievements in environment and disaster monitoring, urban management and construction and national land resource surveying. However, little has been investigated concerning the utilization of BJ-1 small satellite in monitoring the coast engineering. We compared various typical detection methods, and summarized a highly accurate and stable method in monitering the costal engineering with BJ-1 small satellite remote sensing data. Different detection methods were applied to investigate the changes in 2 key areas-Tianjin Port and Caofeidian Port costal engineering from 2006 to 2010 based on the characteristics of BJ-1 small satellite data, and evaluated the detected results. Our findings showed that among the detecting methods with BJ-1 remote sensing data, the maximum precision was obtained when waveband substitution technique was combined with SVM classification to detect the changes in costal engineering. The second precisest and stablest method was object-oriented analysis. These results indicate that, BJ-1 remote sensing data meet the requirements for accuracy in different costal engineering monitoring. Meanwhile, combination of waveband substitution and SVM classification technique, as well as object-oriented analysis, has the highest accuracy and stability in different costal engineering monitoring.

Key words: remote sensing, BJ-1 small satellite data, change detection, coastal engineering