6. Data Interpolation and Rescaling: Radiometric calibrationmay require rescaling or interpolating the image data to match desired calibration values or to eliminate extreme outliers. ENVI's radiometric calibration toolset offers options for rescaling DN values based on user-defined inputs, such as known...
Landsat MSS, TM, ETMEO-1 ALIRadiometric characterization & calibrationAt-sensor spectral radianceTop-of-atmosphere reflectanceAt-sensor brightness temperatureThis paper provides a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at...
The rescaling of ROME assumes that image columns that were less corrected than others can be used as reference for the whole image. After all reductions a detrending is performed reducing across track brightness gradients caused by reduction related frequency undershoots of low SNR bands. In this ...
For L4 TM and L5 TM, the cross-calibration decreased the radiometric measurement level by rescaling at-sensor radiance to DN values. The radiometric changes, -0.77% for L4 TM, 0.95% for L5 TM, -0.26% for L7 ETM+, and -0.01% for L8 OLI, were detected during the cross-calibration ...
Therefore, a rescaling on the radiometry resolution is performed in the preprocessing. Then, multivariate alteration detection (MAD) based on kernel canonical correlation analysis (KCCA) is adopted, which is called KCCA-based MAD, to select pseudo-invariant features (PIFs). The process of RRN is ...
where 𝜌𝑇𝑂𝐴_𝑂𝐿𝐼ρTOA_OLI is the TOA planetary reflectance, 𝜃𝑆𝐸 θSE is the local sun elevation angle, 𝑀𝜌 Mρ is the band-specific multiplicative rescaling factor, and 𝐴𝜌 Aρ is the band-specific additive rescaling factor provided in the metadata. 𝑄𝑐...
where 𝜌𝑇𝑂𝐴_𝑂𝐿𝐼ρTOA_OLI is the TOA planetary reflectance, 𝜃𝑆𝐸 θSE is the local sun elevation angle, 𝑀𝜌 Mρ is the band-specific multiplicative rescaling factor, and 𝐴𝜌 Aρ is the band-specific additive rescaling factor provided in the metadata. 𝑄𝑐...
This publication presents a new reduction framework that efficiently reduces linear and nonlinear miscalibrations by an image-driven, radiometric recalibration and rescaling. The proposed framework-Reduction Of Miscalibration Effects (ROME)-considering spectral and spatial probability distributions, is ...