Inversion and Ill-Posed Problem Solutions in Atmospheric Remote Sensing

With the swift advances in earth observation, satellite remote sensing and application of atmospheric radiation theory have been developed in the past decades, atmospheric sensing inversion with its algorithms is getting more and more importance. It is known that since a remote sensing equation falls into an integral equation of the first kind, thus leading to the fact that it is ill-posed and particularly the solution is unsteady, tremendous difficulties arise from the retrieval. This paper will present a simple review on the inversion techniques with some necessary remarks, before in-troducing the successful efforts with respect to such equations and the encouraging solutions achieved in recent dec-ades by researchers of the world.