Correcting Airborne Laser Scanning Intensity Data for Automatic Gain Control Effect

Towards an enhanced understanding of airborne LiDAR measurements of forest vegetation

“…A high dynamic range is achieved by adjusting the transmitted power or by applying different receiver sensitivity settings. Leica has manufactured sensors that have adjustable laser power (up to 20 dB) and automatic gain control (up to 3 dB) in a receiver that is run in high-gain mode (e.g., Korpela 2008;Vain et al 2010). Many modern sensors employ several receivers of varying sensitivity (Jalobeanu and Gonçalves 2012).…”

“…The effects of R and η atm are relatively straightforward to remove using empirical or theoretical correction models (e.g., Höfle and Pfeifer 2007). If the receiver's sensitivity (gain) varies during the acquisition, an extension of the model is needed (Korpela 2008;Vain et al 2010). Well-defined (planar, area-extended) targets of homogeneous reflectance are needed for the estimation of the model parameters.…”

Correcting Airborne Laser Scanning Intensity Data

“…The intensity data has to be corrected for AGC effect. Vain et al, (2010) propose a correction model that is based on test flights made in Hyytiälä, Finland in 2008. Same area was flown twice: once with AGC working properly and second time when the AGC was set to a constant level.…”

Correction of Overlapping Multispectral Lidar Intensity Data: Polynomial Approximation of Range and Angle Effects

“…* Corresponding author With various radiometric pre-processing techniques being proposed and developed (Kashani et al, 2015), LiDAR data users reap the benefits of using the monochromatic laser intensity data for surface classification and object recognition (Yan et al, 2015). Most of the existing radiometric calibration and correction models are built upon the radar (range) equation that considers the system-and environment induced distortions, including the range (Kaasalainen et al, 2011), incidence angle (You et al, 2017), atmospheric attenuation (Errington and Daku, 2017) and other system parameters (Vain et al, 2010). To minimize the discrepancy in overlapping strips, certain radiometric normalization approaches have been proposed Shaker, 2014, 2016) which have proven to reduce the striping noise found within the overlapping region.…”