Abstract
The enhanced spectral and spatial resolutions of the remote sensors have increased the need for highly performing preprocessing procedures. In this paper, a comprehensive approach, which simultaneously performs atmospheric and topographic corrections and includes second order corrections such as adjacency effects, was presented. The method, developed under the assumption of Lambertian surfaces, is physically based and uses MODTRAN 4 radiative transfer model. The use of MODTRAN 4 for the estimates of the radiative quantities was widely discussed in the paper and the impact on remote sensing applications was shown through a series of test cases.
Highlights
Corrections from atmospheric and topographic effects are critical steps in the preprocessing chain of remotely sensed data
The image must be corrected by topographic effects [5,6,7]
MODTRAN 4 works only with homogeneous surfaces, its outputs discriminate between the radiance reflected by the target and the radiance diffused by the background
Summary
Corrections from atmospheric and topographic effects are critical steps in the preprocessing chain of remotely sensed data. With the increase in satellite sensor performances, the need for accurate preprocessing procedures has become a priority to meet the new and powerful remote sensing applications in many fields [1] In this context, sophisticated physically based procedures have gradually replaced empirical approaches to atmospheric correction, including correction from environmental effects to maximize information content [2,3,4]. Some researchers applied a physically based model to both atmospheric and topographic corrections [7,26,27] to retrieve the reflectance in roughness terrains In these models, the direct and diffuse incident light are coupled, and the surface is uniform, preventing the modeling and correction of environmental impact on remote sensing data. We demonstrate the impact of the method on remote sensing applications
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