Abstract
ImaACor is a tool for the simultaneous correction of remotely sensed data from atmospheric and topographic effects, including second-order corrections, such as adjacency effects. The implemented approach is physically based and uses MODTRAN for computation of the main radiometric quantities. A user-friendly, comprehensive, and exhaustive graphic interface allows the user to choose from different correction levels. The various panels allow one to set all the parameters to correctly characterize the atmosphere and define the acquisition and illumination geometries. The tool provides a number of facilities to easily manage the correction process for a wide range of sensor data, including the ability to process multiple data in batch mode, which is very useful for dealing with temporal series. Under the inclusion of topographic correction, this tool allows the user to select a digital elevation model that is automatically resampled to the image resolution and processed to obtain the parameters for radiometric transfer modeling and the subsequent harmonization of the surface with the model inversion. This tool also includes utilities for the pre-processing of PRISMA data.
Highlights
The increased performance of satellite sensors requires a high-quality pre-processing chain to support remote sensing analysis in many fields [1]
In contexts of terrain roughness, remotely sensed data must be corrected for topographic effects because the irradiation on a slope strongly varies with the relative angle between the sun and the slope azimuth, impacting the remotely sensed signal [6,7,8]
As sensor performance has increased, empirical approaches for atmospheric and topographic correction have been gradually replaced with physically based procedures
Summary
The increased performance of satellite sensors requires a high-quality pre-processing chain to support remote sensing analysis in many fields [1]. In contexts of terrain roughness, remotely sensed data must be corrected for topographic effects because the irradiation on a slope strongly varies with the relative angle between the sun and the slope azimuth, impacting the remotely sensed signal [6,7,8] This effect has to be properly modeled and corrected to enhance image quality. The ImaACor (Image Atmospheric Correction) software is presented with an exhaustive and user-friendly GUI (graphic user interface); this tool’s facilities can manage the atmospheric correction process This software allows one to atmospherically and topographically correct a wide range of remote sensing data and implements a fully physically based approach based on MODTRAN 4 simulations. After the launch of the PRISMA mission, the software was equipped with a set of features for the pre-processing and re-calibration of PRISMA data
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