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Inversion and III-Posed Problem Solutions in Atmospheric Remote Sensing 被引量:5

Inversion and III-Posed Problem Solutions in Atmospheric Remote Sensing
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摘要 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 introducing the successful efforts with respect to such equations and the encouraging solutions achieved in recent decades by researchers of the world. 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 introducing the successful efforts with respect to such equations and the encouraging solutions achieved in recent decades by researchers of the world.
作者 黄思训
机构地区 LASG
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 1996年第4期489-504,共16页 大气科学进展(英文版)
基金 This work is supported partly by the Meteorological Office of Air Command
关键词 Inversion of atmospheric parameters Integral equation of the first kind Arcangeli criterion Tikhonov regularization. Solution of ill-posed problems Inversion of atmospheric parameters, Integral equation of the first kind, Arcangeli criterion, Tikhonov regularization. Solution of ill-posed problems
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