Multi-Angular Reflectance Anisotropy Observed from UAV Multispectral Imagery
Quick Answer
This study introduces a geometry-aware workflow for extracting multi-angular observations from UAV multispectral imagery, revealing significant reflectance anisotropy with up to 137% variability in red-edge and near-infrared bands.
Quick Take
This study introduces a geometry-aware workflow for extracting multi-angular observations from UAV multispectral imagery, revealing significant reflectance anisotropy with up to 137% variability in red-edge and near-infrared bands. The findings highlight the impact of observation geometry on radiometric consistency, crucial for accurate remote sensing applications.
Key Points
- UAV multispectral imagery captures multi-angular observations due to low altitude.
- Geometry-aware workflow refines camera parameters using structure-from-motion (SFM).
- Joint extraction of multi-band reflectance and geometry parameters is achieved.
- Reflectance anisotropy shows 119-137% variability in specific bands.
- Findings indicate significant observation-geometry effects on radiometric consistency.
Paper Resources
Article Excerpt
From source RSS / original summaryarXiv:2606. 10350v1 Announce Type: new Abstract: UAV multispectral imagery naturally contains multi-angular observations due to low flight altitude and wide field-of-view imaging, which may introduce geometry-driven radiometric variability. This study proposes a geometry-aware multi-angular observation extraction workflow to quantify observation-geometry effects from a BRDF perspective.
Specifically, camera intrinsics and extrinsics are refined via structure-from-motion (SFM), and homogeneous regions annotated on an orthomosaic are reprojected onto multiple raw sub-images acquired from different viewpoints. This enables joint extraction of multi-band reflectance and observation geometry parameters for the same ground targets under varying viewing directions. The extracted observations are further analyzed using band-wise polar visualization in the (VZA, RAA) domain.
Results on a grassland target show clear reflectance anisotropy across ten bands, with red-edge and nearinfrared bands exhibiting 119-137% variability between maximum and minimum reflectance, indicating non-negligible observation-geometry effects on radiometric consistency.
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