In this work, we perform an in-depth analysis of hyperspectral target detection on targets in full illumination and in partial or full shadows.

Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach · Environmental Science, Engineering. Workshop on ...

To do this, first, we detect the shadows using LiDAR, and propose a way to correct them in the hyperspectral image using the physical radiance model. Then, ...

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 ...

This analysis aimed to remove locations with human activities that result in significant changes in elevation and cloud perturbation (e.g., shadows) in the ...

Jun 28, 2024 · An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR. Article. Sep 2021; SIGNAL PROCESS-IMAGE.

A novel framework for shadow detection and restoration of atmospherically corrected hyperspectral images based on nonlinear spectral unmixing is proposed, ...

Shadows in hyperspectral images lead to reduced spectral intensity and changes in spectral characteristics, significantly hindering analysis and ...

(2021) An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR. SIGNAL PROCESSING-IMAGE COMMUNICATION , 99(None).

An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR. Emrah Oduncu, Seniha Esen Yuksel. https://doi.org/10.1016/j.image ...