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In-Flight Calibration Design
Published in Shen-En Qian, Hyperspectral Satellites and System Design, 2020
Radiometric calibration can be seen as the application of a transfer function that converts the more or less arbitrary raw sensor data into physical radiometric units. Determining the coefficients of the transfer function so that can be applied to the uncalibrated data is the goal of the radiometric calibration process.
Mobile thermal mapping for matching of infrared images with 3D building models and 3D point clouds
Published in Quantitative InfraRed Thermography Journal, 2018
The camera calibration is generally split into two parts, the radiometric calibration and the geometric calibration. Whereas the radiometric calibration is necessary to accurately estimate the surface radiation and temperature, the geometric calibration is done to refine the geometric projection by including the estimated camera parameters in the projection process including focal length, principal point and a set of distortion coefficients. The radiometric calibration is done based on the auto-calibration of the shutter of the cameras and not explicitly by placing known black bodies to the scene. The geometric calibration is following the photogrammetric calibration according to Luhmann [18]. Given a set of known n calibration marks with their coordinates and their corresponding image points in a set of m acquired images, the parameters of the intrinsic and extrinsic camera parameters can be estimated using the collinearity equations [18,31]
Low-cost system for radiometric calibration of UAV-based multispectral imagery
Published in Journal of Spatial Science, 2022
Jorge Tadeu Fim Rosas, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Flora Maria de Melo Villar, Rodrigo Nogueira Martins, Samuel de Assis Silva
However, many questions still need to be answered so that UAVs can be used for crop monitoring. For example, radiometric calibration plays a key role in the generation of temporal information. Many studies were carried out to calibrate images obtained with multispectral sensors coupled on UAVs (Yu et al. 2016, Navrozidis et al. 2018, Batistoti et al., 2019, Albetis et al. 2019, Corti et al. 2019, Lima-Cueto et al. 2019, Xavier et al. 2019). According to Dinguirard and Slater (1999), there are three methods of radiometric calibration: preflight calibration; onboard calibration; and vicarious calibration.
Absolute radiometric calibration and validation of a UAV multispectral sensor: a comparison between the irradiance-based method and reflectance-based method
Published in Journal of Spatial Science, 2021
Absolute radiometric calibration plays an important role in the quantitative application of remote sensing data by connecting the output signal of the remote sensing sensor and the real energy the sensor receives (Gao et al. 2010). This calibration is a crucial step in the quantitative applications of remote sensing (Choi et al. 2018, Cao et al. 2019). To effectively apply remote sensing data, the uncertainties in radiometric calibrations for satellite remote sensing sensors need to be less than 5% (Bezy et al. 1998, Henry and Meygret 2001, Eplee et al. 2012).