内蒙古农业大学学报（自然科学版）2026，Vol.47Issue(2)：86-93,8.DOI:10.16853/j.cnki.1009-3575.2026.02.010
基于高光谱遥感的黄河滩区典型人工材质目标检测
Typical Artificial Material Target Detection in Yellow River Beach Area Based on Hyperspectral Remote Sensing
摘要
Abstract
The application of remote sensing technology for the timely and accurate monitoring of artificial target materials in the Yel-low River beach area is significant for ecological protection of the Yellow River.Hyperspectral object detection technology is an effec-tive tool for extracting typical materials.This study utilized a drone-captured hyperspectral imaging technology to systematically in-vestigate typical scattered targets in the Yellow River beach area.Twelve representative datasets,comprising three distinct back-ground categories and four target types,were constructed through comprehensive field surveys.Comparative experiments were con-ducted employing five object detection algorithms and five anomaly detection methodologies.The experimental results demonstrated that object detection algorithms exhibited significantly higher operational efficiency compared to most anomaly detection approaches.For known materials,a spectral database could be constructed to detect common garbage targets using object detection and direction-al material detection.Meanwhile,anomaly monitoring algorithms could be used to detect potential targets.关键词
黄河滩区/高光谱图像/目标检测/异常检测/环保监测Key words
Yellow River beach area/Hyperspectral image/Target detection/Anomaly detection/Environmental monitoring分类
信息技术与安全科学引用本文复制引用
焦阳,赵嵩,石育澄..基于高光谱遥感的黄河滩区典型人工材质目标检测[J].内蒙古农业大学学报（自然科学版）,2026,47(2):86-93,8.基金项目
国家自然科学基金联合基金项目(U21A2014) （U21A2014）
河南省科技攻关项目(232102320258) （232102320258）
