地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (9): 1119-1127.doi: 10.3724/SP.J.1047.2015.01119

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不同分辨率遥感影像的钢铁厂识别适宜性研究

陈鹏飞1(), 卢力2,3,*(), 朱华忠1, 诸云强1, 王琰2,3   

  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. 环境保护部环境工程评估中心,北京 100012
    3. 国家环境保护环境影响评价数值模拟重点实验室,北京 100012
  • 收稿日期:2014-10-13 修回日期:2015-01-09 出版日期:2015-09-10 发布日期:2015-09-07
  • 通讯作者: 卢力 E-mail:pengfeichen@igsnrr.ac.cn;luli@acee.org.cn
  • 作者简介:

    作者简介:陈鹏飞(1982-),男,汉族,河南许昌人,博士,助理研究员,主要从事遥感应用研究。E-mail: pengfeichen@igsnrr.ac.cn

  • 基金资助:
    环境保护部财政预算项目(1441402450017-3);国家自然科学基金项目(41301378);广东省中国科学院全面战略合作专项(2013B091500075)

Research on the Suitability of Image at Different Resolutions for the Identification of Steel Enterprise Using Remote Sensing

CHEN Pengfei1(), LU Li2,3,*(), ZHU Huazhong1, ZHU Yunqiang1, WANG Yan2,3   

  1. 1. State Key Lab of Resources and Environment Information System, Institute of Geographic Science and Natural Resources Research, CAS, Beijing 100101, China
    2. Appraisal Center for Environment and Engineering, Beijing 100012, China
    3. State Environmental Protection Key Laboratory of Numerical Modeling for Environment Impact Assessment, Beijing 100012, China
  • Received:2014-10-13 Revised:2015-01-09 Online:2015-09-10 Published:2015-09-07
  • Contact: LU Li E-mail:pengfeichen@igsnrr.ac.cn;luli@acee.org.cn
  • About author:

    *The author: SHEN Jingwei, E-mail:jingweigis@163.com

摘要:

钢铁行业是主要污染源之一。钢铁企业违法建设行为时有发生,给生态环境带来巨大压力。为提高环境监察部门执法能力,保障生态环境安全,开展基于遥感技术的钢铁企业违法建设核查研究具有重要意义。本研究以石家庄地区为例,分析将遥感技术应用于核查钢铁企业违法建设行为的可行性,并提出不同核查任务的最低影像分辨率需求。首先,选择不同规模代表性钢铁企业,开展遥感特征解译分析,建立解译知识库;其次,研究不同规模钢铁企业遥感解译标志在不同分辨率遥感影像下的可识别性;最后,根据不同核查任务,提出各任务对影像分辨率的需求。结果表明:(1)高炉、煤气柜、电除尘器、储料区是钢铁厂遥感识别的重要特征;(2)对于批小建大行为、正在建设的未批先建行为的遥感核查,最低影像分辨率需求为:大型企业2 m全色影像,中型企业1 m全色影像,小型企业0.5 m全色影像;(3)对于在敏感区已建成未批先建行为的遥感核查,最低影像分辨率需求为:大型钢铁企业2 m全色影像,中型企业2 m全色影像配合5 m多光谱影像,小型企业0.5 m全色影像配合5 m多光谱影像;(4)对于非敏感区已建成未批先建行为的遥感核查,最低影像分辨率需求为5 m多光谱影像。

关键词: 遥感, 钢铁厂, 几何分辨率, 违法建设

Abstract:

Steel industry is one of the dominant sources of pollution. Illegally constructed steel enterprises have been emerging for a long period. It brings enormous pressure to the ecological environment. Using remote sensing technology to monitor the violate behavior, is very helpful to enhance the capability of environmental monitoring department and strengthen environment security. Taking Shijiazhuang city as a research area, this study analyzed the feasibility of steel company inspection based on remote sensing technology, and presented the minimum requirements of image geometric resolution for different assignments. For this purpose, firstly, the representative steel enterprises of different sizes were selected. The identification characteristics of these steel companies were analyzed using remote sensing techniques and were used to format the interpretation knowledge base. Secondly, the feasibilities of identifying recognition features for different sized enterprises were analyzed, with remote sensing images at different geometric resolutions. Finally, the minimum requirements of image geometric resolution for different detection assignments were suggested according to their features. The results are indicated as follows: (1) the blast furnace, gas tank, electricity dust removal facility and material storage field were the primary recognition features of steel enterprises using remote sensing. (2) To identify the illegal extensions and constructions built without permission, the minimum requirements of image geometric resolution are 2 m panchromatic image for large-size company, 1 m panchromatic image for medium-size company and 0.5 m panchromatic image for small-size company. (3) To identify the constructions built without permission in sensitive area, the minimum requirements of image geometric resolution are 2 m panchromatic image for large-size company, 2 m panchromatic image plus 5 m multispectral image for medium-size company, and 0.5 m panchromatic image plus 5 m multispectral image for small-size company. (4) To identify the constructions built without permission in non-sensitive area, the minimum requirement of image geometric resolution is 5 m multispectral image for companies of all sizes.

Key words: Remote Sensing, steel enterprise, geometric resolution, illegal construction