Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight.

ABSTRACT: Color accuracy and consistency in remote sensing imagery are crucial for reliable plant health monitoring, precise growth stage identification, and stress detection. However, without effective color correction, variations in lighting and sensor sensitivity often cause color distortions between images, compromising data quality and analysis. This study introduces a novel in-flight color correction approach for RGB imagery using cooperative dual unmanned aerial vehicle (UAV) flights integrated with a color chart (CoF-CC). The method employs a master UAV equipped with an RGB camera for image acquisition and a synchronized secondary UAV carrying a ColorChecker (X-Rite) chart, ensuring persistent visibility of the chart within the imaging field of the master UAV for the calculation of a color c

SUBMITTER: Lu X 

PROVIDER: S-EPMC12710031 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature