| Title: |
Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance |
| Authors: |
Nghien, Alexane; Lei, Manchun; Brédif, Mathieu; Hagolle, Olivier |
| Source: |
eISSN: 2194-9034 |
| Publication Year: |
2025 |
| Collection: |
Copernicus Publications: E-Journals |
| Description: |
Surface reflectance (SR) is essential for many remote sensing applications, but retrieving it from aerial images is challenging due to the lack of in-flight radiometric calibration and varying acquisition conditions. We propose a novel method for radiometric cross-calibration of aerial imagery using satellite Top-of-Atmosphere (TOA) reflectance. The method involves estimating at-sensor reflectance at the airborne altitude from satellite TOA reflectance, followed by spectral band adjustment and spatial alignment between satellite and airborne imagery. A linear radiometric model is derived to relate the Digital Number (DN) to the at-sensor reflectance from a selected subset of robust aerial-satellite pixel correspondences. The radiometric calibration parameter was retrieved using linear regression. The method is particularly suitable for airborne campaigns that lack onboard or in-situ radiometric calibration equipment. An ablation study is presented to analyze the selection of reliable reference pixels. |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| DOI: |
10.5194/isprs-archives-XLVIII-M-7-2025-49-2025 |
| Availability: |
https://doi.org/10.5194/isprs-archives-XLVIII-M-7-2025-49-2025; https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/49/2025/ |
| Accession Number: |
edsbas.B77257DB |
| Database: |
BASE |