An Integrated Solution of UAV Push-Broom Hyperspectral System Based on Geometric Correction with MSI and Radiation Correction Considering Outdoor Illumination Variation

The unmanned aerial vehicle (UAV)-borne hyperspectral imaging system has the advantages of high spatial resolution, flexible operation, under-cloud flying, and easy cooperation with ground synchronous tests. Because this platform often flies under clouds, variations in solar illumination lead to irradiance inconsistency between different rows images (HSIs). This causes errors radiation correction. In addition, due accuracy limitations GPS/inertial measurement unit (IMU) irregular changes flight speed attitude, HSIs have deformation drift, which is harmful geometric correction stitching strips. Consequently, error limit further applications large-scale data. To address above problems, we proposed an integrated solution acquire correct UAV-borne that consist data acquisition, radiance correction, HSI, multispectral image (MSI) registration, multi-strip stitching. We presented improved three-parameter empirical model based on factor, it showed considering variation improved, especially some low signal-to-noise ratio (SNR) bands. HSI was controlled within one pixel.