An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors

Hyperspectral sensors mounted in unmanned aerial vehicles offer new opportunities to explore high-resolution multitemporal spectral analysis remote sensing applications. Nevertheless, the use of hyperspectral data still poses challenges mainly postprocessing correct from high geometric deformation images. In general, acquisition high-quality imagery is achieved through a time-consuming and complex processing workflow. However, this effort mandatory when using multisensor fusion perspective, such as with thermal infrared or photogrammetric point clouds. Push-broom provide resolution data, but its scanning architecture imposes more create geometrically accurate mosaics multiple swaths. article, an efficient method presented geometrical distortions on swaths push-broom by aligning them RGB orthophoto mosaic. The proposed based iterative approach align Using input preprocessed swaths, apart need introducing some control points, workflow fully automatic consists of: adaptive swath subdivision into fragments; detection significant image features; estimation valid matches between individual mosaic; calculation best transformation model retrieved matches. As result, are corrected orthomosaic generated. This methodology provides expedite solution able produce mosaic accuracy ranging two five times ground sampling distance mosaic, enabling integration other for