Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images
With the rapid development of hyperspectral applications using unmanned aerial vehicles (UAVs), the traditional assumption that ground objects exhibit Lambertian reflectance is no longer sufficient to meet the high-precision requirements for quantitative inversion and airborne hyperspectral data app...
Saved in:
| Main Authors: | Liyao Song, Haiwei Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/5/863 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics
by: Aojie Shen, et al.
Published: (2025-01-01) -
Color Reproduction of Chinese Painting Under Multi-Angle Light Source Based on BRDF
by: Xinting Li, et al.
Published: (2024-11-01) -
Hyperspectral Image Reconstruction Based on Blur–Kernel–Prior and Spatial–Spectral Attention
by: Hongyu Xie, et al.
Published: (2025-04-01) -
A Universal BRDF Archetype Database for Normalizing Directional Reflectance to Nadir BRDF Adjusted Reflectance
by: Qianrui Xi, et al.
Published: (2025-01-01) -
Scaled RTLS BRDF model extended to high zenith angles
by: Alexei Lyapustin, et al.
Published: (2025-01-01)