Enhancing the Accuracy of Boresight Calibration with Coplanarity Constraint and Relative Height from DEM

As the resolution of airborne hyperspectral imagers (AHIs) continues to improve, demand for accurate boresight calibration also increases. However, high cost ground control points (GCPs) and low horizontal open digital elevation model (DEM) datasets limit accuracy AHI’s calibration. We propose a method enhance DEM-based using coplanarity constraints address this issue. Our approach utilizes relative DEM in low-resolution datasets. To make better use DEM, we apply identify image features that display similar displacement overlapping areas, extract their corresponding values from DEM. These heights are then incorporated into an optimization problem In case datasets, our fully improve correction precision. have proven is more reliable than absolute situation. has been tested on dataset AHI, results shown proposed summary, provides novel improving AHIs, which can benefit applications, such as remote sensing environmental monitoring. This research highlights importance utilizing