Title :
Inversion algorithms for remote sensing of sea ice
Author :
Veysoglu, M.E. ; Ewe, H.T. ; Jordan, A.K. ; Shin, R.T. ; Kong, J.A.
Author_Institution :
Res. Lab. of Electron., MIT, Cambridge, MA, USA
Abstract :
In certain cases available electromagnetic measurements may not contain sufficient information to reconstruct sea ice parameters such as thickness, extent or concentration. In this study it is shown that by incorporating additional information provided by dynamical equations governing sea ice physics, the electromagnetic inverse problem can be constrained sufficiently to achieve more accurate reconstructions. To accomplish this, the time series data is processed within the constraints of dynamical equations to achieve the inversion. To demonstrate the concept, a theoretical thermodynamic model is used in conjunction with an electromagnetic model to predict the evolution of sea ice growth
Keywords :
geophysical signal processing; inverse problems; microwave measurement; oceanographic techniques; radar applications; radar imaging; radar signal processing; radar theory; radiometry; remote sensing; remote sensing by radar; sea ice; algorithm; concentration; constrained; constraint; dynamical equations; electromagnetic inverse problem; extent; inversion; measurement technique; ocean sea surface; radar remote sensing; radiometry geophysical inverse problem; sea ice; sea ice growth; signal processing; theoretical thermodynamic model; thickness; time series data; Electromagnetic measurements; Electromagnetic modeling; Equations; Ice thickness; Inverse problems; Physics; Predictive models; Remote sensing; Sea ice; Thermodynamics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399203
