高精度实景三维与水质反演在排污口排查中的应用

在排污口排查过程中单一采用正射影像，常常无法发现存在于树下、桥下的隐蔽排污口，为了解决该问题，本文以松花江干流区域为研究对象，提出了利用无人机正射影像、实景三维模型和水质反演参数混合解译的方法。首先利用水质参数异常信息确定重点排查区域，然后用正射影像进行大规模排查，标记出疑似排污口，同时利用倾斜摄影构建的实景三维模型对重点区域和疑似排污口进行解译。该方法有利于快速高效地查找隐蔽排污口，对河流和海洋水环境污染的追根溯源有重要意义。

Application of high precision real scene 3D model and water quality inversion in investigation of sewage discharge outlets

In the process of sewage outlets investigation, it is often impossible to find hidden sewage outlets under trees and bridges by using orthophoto alone. In order to solve this problem, this paper selects the main stream area of Songhua River, and proposes a hybrid interpretation method using UAV orthophoto, 3D model and water quality inversion parameters. Firstly, the key investigation area is determined by the abnormal information of water quality parameters, and then the large-scale investigation is carried out by orthophoto to mark the suspected sewage outlets. At the same time, the real 3D model constructed by oblique photography is used to interpret the key areas and suspected sewage outlets. This method is conducive to the rapid and efficient search for hidden sewage outlets, and has great significance for tracing the source of river and marine water pollution.