沿海矿山生态环境修复中遥感影像自动配准方法的应用

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。

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

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.