Radiometric Block Adjustment for Multi-Strip Airborne Waveform Lidar Data
AbstractThe airborne lidar system has been shown to be an effective and reliable method for spatial data collection. Lidar records the coordinates of point and intensity, dependent on range, incident angle, reflectivity of object, atmospheric condition, and several external factors. To fully utilize the intensity of a lidar system, several researchers have proposed correction models from lidar equations. The radiometric correction models are divided into physically-oriented models and data-oriented models. The lidar acquisition often contains multiple flight lines, and the radiation energy of each flight line can be calibrated independently by calibration coefficient. However, the calibrated radiances in the overlapped area have slightly different measurements. These parameters should be implicitly taken into account if calibrating radiances back to reflectance using known calibration targets. This study used a single-strip physically-oriented model to obtain a backscattering coefficient and a data-oriented model to obtain corrected intensity. We then selected homogeneous tie regions in the overlapped areas, and the differences between strips were compensated by gain and offset parameters in multi-strip radiometric block adjustment. The results were evaluated by the radiometric differences. Nine strips were acquired by Rigel Q680i system, and the experimental results showed that the delta intensity and delta backscattering coefficient of tie regions were improved up to 60% after multi-strip block adjustment. View Full-Text
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Teo, T.-A.; Wu, H.-M. Radiometric Block Adjustment for Multi-Strip Airborne Waveform Lidar Data. Remote Sens. 2015, 7, 16831-16848.
Teo T-A, Wu H-M. Radiometric Block Adjustment for Multi-Strip Airborne Waveform Lidar Data. Remote Sensing. 2015; 7(12):16831-16848.Chicago/Turabian Style
Teo, Tee-Ann; Wu, Hsien-Ming. 2015. "Radiometric Block Adjustment for Multi-Strip Airborne Waveform Lidar Data." Remote Sens. 7, no. 12: 16831-16848.