The Study Of Atmospheric Correction Scheme Based On The Radiative Transfer Theory

The remote sensing from satellite or airborne platform of land or sea surface in thevisible and near infrared is strongly affected by the presence of the atmosphere on theSun-target-Sensor path. Due to the distortions and noises caused by the presence of theatmosphere on the Sun-target-Sensor path, the space-based and airborne remote sensinginformation in the solar spectral range do not directly characterize the surface objects. Itbecomes serious impediments for the quantitative analysis and measurement of resources andenvironment.The bidirectional reflectance is the common phenomenon of the electromagnetic wavereflection in nature, it reveals that the reflection has directivity relying on the incidentdirection. The ability of reflecting and dispersing the electromagnetic wave of targets areclosely related to its surface structural characteristic and material composition, the surface ofvarious targets could radiate the incident electromagnetism wave in any directions and formdifferent fringing flux function of material spectrum characteristic.In this paper, a code enabling simulations of the above problem has been advanced andstudied. The code is the improved those codes that has been advance based on Collaboration.It enables to simulate plane observations, to account for elevated targets, to take into accountnon lambertian surface boundary conditions, the bidirectional reflectance, and new gases(CH4,N2O,CO) have been integrated in the computation of the gaseous transmission. Thecomputation accuracy regarding Rayleigh and aerosol scattering effects has been improved bythe use of state of the art approximation and use of the successive orders of scattering method.The step used for spectral integration has been improved to 2.5 nanometers. Finally, allcommunity approved results have been integrated in the code.Sensitivity analysis is conducted by comparisons of corrected and uncorrectedreflectance data including spectral brightness.The research shows that this atmosphericsimulation model reduces the uncertainties in the process of electromagnetic wavetransmission and eliminates effectively the perturbation from geometricand system correctedremote sensing imagery.