测绘通报 ›› 2020, Vol. 0 ›› Issue (7): 58-63.doi: 10.13474/j.cnki.11-2246.2020.0215

• 学术研究 • 上一篇    下一篇

沿海矿山生态环境修复中遥感影像自动配准方法的应用

项谦和1,2, 杜娟3, 陈春雷4, 汪建光4   

  1. 1. 中国地质大学(武汉), 湖北 武汉 430074;
    2. 中国煤炭地质总局浙江煤炭地质局, 浙江 杭州 310021;
    3. 嘉兴市规划设计研究院有限公司, 浙江 嘉兴 314000;
    4. 浙江省测绘科学技术研究院, 浙江 杭州 310030
  • 收稿日期:2020-03-18 修回日期:2020-05-19 出版日期:2020-07-25 发布日期:2020-08-01
  • 通讯作者: 陈春雷。E-mail:602072454@qq.com E-mail:602072454@qq.com
  • 作者简介:项谦和(1977-),男,博士,教授级高级工程师,主要研究方向为海洋测绘、大地测量、不动产测绘、遥感、生态修复、经营与技术管理等。E-mail:215187606@qq.com

Application of automatic registration method of remote sensing image in ecological environment restoration of coastal mines

XIANG Qianhe1,2, DU Juan3, CHEN Chunlei4, WANG Jianguang4   

  1. 1. China University of Geosciences(Wuhan), Wuhan 430074, China;
    2. China General Administration of Coal Geology Zhejiang Bureau of Coal Geology, Hangzhou 310021, China;
    3. Jiaxing City Planning and Design Research Institute Co., Ltd., Jiaxing 314000, China;
    4. Zhejiang Institute of Surveying and Mapping Science and technology, Hangzhou 310030, China
  • Received:2020-03-18 Revised:2020-05-19 Online:2020-07-25 Published:2020-08-01

摘要: 本文从遥感影像解译角度出发,浅析遥感影像解译在沿海矿山生态修复调查中的作用,概略梳理沿海矿山生态修复遥感解译的基本方法,针对基于光学遥感图像配准技术存在的问题,提出了一种利用对象区域形状特征的配准方法。本文采用分割方法提取基准图像和待配准图像中具有结构性的小区域,按照小区域的属性与几何形状特征进行匹配,利用空间关系做控制约束,查询正确的同名小区域对,提取小区域的中心点作为匹配控制点对,解算仿射变换模型参数,有效解决影像间的自动配准问题。采用该方法对实际光学影像进行试验,取得了良好的试验结果与实用价值,为沿海矿山生态修复调查工作中确定矿山空间位置与设计方案提供了保障。

关键词: 矿山生态环境修复, 影像分割, 区域特征匹配, 空间关系约束, 自动配准

Abstract: From the perspective of remote sensing image interpretation, this paper analyzes the role of remote sensing image interpretation in ecological restoration investigation of coastal mines, summarizes the basic methods of remote sensing interpretation of ecological restoration of coastal mines. Aiming at the problems of optical remote sensing image registration, a registration method based on shape feature of object region is proposed. A segmentation method is used to extract the structural small regions in the reference image and the image to be registered. According to the attributes of the small area and geometric shape features to match, using spatial relationships as control constraints, querying the correct small area of the same name, the center point of small region is extracted as matching control point pairs, and the parameters of affine transformation model are calculated, which effectively solves the problem of automatic registration between images. The experimental results show that the method has good experimental results and practical value, and can be used to ensure the determination of mine space location and design for the ecological restoration investigation of coastal mines.

Key words: mine ecological environment restoration, image segmentation, regional feature matching, spatial relationship constraints, automatic registration

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