基于无人机全景影像的河道岸线地物变化检测方法  

Variation detection of river shoreline features based on UAV panoramic image

作　　者：黄育华 吴念辉 陈杰 梁文俊 赵薛强[2] 管继祥 HUANG Yuhua;WU Nianhui;CHEN Jie;LIANG Wenjun;ZHAO Xueqiang;GUAN Jixiang(Guangdong No.3 Water Conservancy and Hydro-electric Engineering Board Co.,Ltd.,Dongguan 523710,China;China Water Resources Pearl River Planning,Surveying&Designing Co.,Ltd.,Guangzhou 510635,China)

机构地区：[1]广东省水利水电第三工程局有限公司,广东东莞523710 [2]中水珠江规划勘测设计有限公司,广东广州510635

出　　处：《人民长江》2025年第3期230-236,共7页Yangtze River

基　　金：国家重点研发计划项目“高度城镇化地区防洪排涝实时调度决策支持平台与示范应用”(2018YFC1508206)。

摘　　要：为了提升针对违章建筑和河道岸线非法占用目标的检测精度,基于Drone-YOLO目标检测基线模型,融入模拟河道岸线区域特征的数据增强模块,并结合BiFPN特征金字塔网络结构,设计并实现了Drone-YOLO-RCD多尺度无人机图像实例分割算法;并且根据该算法构建了一套地物变化检测系统,形成了一种基于无人机全景影像的河道岸线地物变化检测方法。在自制数据集PGIS_RCD上的实验结果显示:相较于Drone-YOLO基准算法,Drone-YOLO-RCD算法在六大地类的平均精度mAP@0.5上提升了0.044,实现了对违章建筑和非法占用问题的精准识别以及地物变化检测。研究成果推动了河道岸线生态环境的“数字化”管理,可为科学掌握河道岸线建筑活动范围提供有力的技术支持。In order to improve detection accuracy of illegal buildings and illegal occupation targets along river shorelines,based on the Drone-YOLO target detection baseline model,and by integrating a data enhancement module that simulates the river shoreline area characteristics,and by combining the BiFPN feature pyramid network structure,a Drone-YOLO-RCD instance segmentation algorithm based on multi-scale UAV image was designed and implemented.Then,a set of ground object variation detection system was constructed according to the algorithm,and a variation detection method of river shoreline features based on UAV panoramic image was formed.The experimental results on the self-made dataset PGIS_RCD showed that compared with the Drone-YOLO benchmark algorithm,the average accuracy(mAP@0.5)of the Drone-YOLO-RCD algorithm on six types of ground objects was improved by 4.4%,which realized the accurate identification of illegal buildings and illegal occupation problems,as well as the detection of ground object changes.The research results have promoted digital management on the ecological environment along river shorelines,and can provide strong technical support for scientifically grasping the range of construction activities along river shorelines.

关 键 词：地物变化检测 河道岸线巡检 Drone-YOLO 实例分割算法 无人机全景影像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]