红外与毫米波学报2025，Vol.44Issue(2)：217-225,9.DOI:10.11972/j.issn.1001-9014.2025.02.010
基于航迹云提议的高光谱遥感空管监视方法
Hperspectral remote sensing air traffic control monitoring based on contrails cloud proposal
杨利峰 1冯彦卿 2王建宇3
作者信息
- 1. 中国科学院上海技术物理研究所中国科学院空间主动光电技术重点实验室,上海 200083||中国科学院大学,北京 100049
- 2. 北京市遥感信息研究所,北京 100011
- 3. 中国科学院上海技术物理研究所中国科学院空间主动光电技术重点实验室,上海 200083
- 折叠
摘要
Abstract
To address the issues of low detection rate and high false alarm rate caused by complex background during sub-pixel aerial aircraft detection in hyperspectral remote sensing image,an aerial aircraft detection method was pro-posed based on contrails cloud proposal.Firstly,a hyperspectral semantic segmentation model was used to search for the contrails cloud,and regions of interests(ROIs)of aircraft were proposed to reduce invalid search ranges and sup-press false alarms based on the contrails cloud.Secondly,an endmember extraction algorithm based on dictionary learn-ing and semi-blind non-negative matrix factorization was proposed to improve the accuracy of aircraft endmember ex-traction for hyperspectral subpixels.Finally,verification experiments were carried out on the hyperspectral remote sens-ing image dataset of Gaofen-5 satellite.The results demonstrated that the algorithm proposed in this paper can effective-ly suppress false alarms in complex scenes,and significantly improve the detection rate and detection accuracy of sub-pixel aerial vehicles.关键词
高光谱/航迹云/航空器/端元提取Key words
hyperspectral/aircraft contrails/aircraft/end-member extraction分类
物理学引用本文复制引用
杨利峰,冯彦卿,王建宇..基于航迹云提议的高光谱遥感空管监视方法[J].红外与毫米波学报,2025,44(2):217-225,9.
