An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR

作者：

Highlights：

• An in-depth analysis of hyperspectral target detection on targets in shadow.

• Use of LiDAR and HSI data in the physical radiance model for signature correction.

• Considerable improvement in shadow compensation via physics-based machine learning.

摘要

•An in-depth analysis of hyperspectral target detection on targets in shadow.•Use of LiDAR and HSI data in the physical radiance model for signature correction.•Considerable improvement in shadow compensation via physics-based machine learning.

论文关键词：Hyperspectral,LiDAR,Shadow correction,Target detection,Radiance model,Physics-guided machine learning

论文评审过程：Received 12 September 2020, Revised 23 June 2021, Accepted 29 July 2021, Available online 5 September 2021, Version of Record 16 September 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116427