Multi-resolution analysis, numerical methods and reverse dynamics, integrated in software instruments for performance improving in the satellite remote sensing

Abstract

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In this paper we present the general conception and the mathematical background of a software environment aimed to provide enhanced remotely-sensed images processing capabilities. Integral and discrete transforms, multi-resolution analysis, reverse dynamics, symbolic computation principles and tools will be involved. As mathematical background, will be presented some details concerning discrete transforms, multi-resolution analysis, reverse dynamics.

Authors

Mira Cristiana Anisiu
T. Popoviciu Mathematics Institute- Romanian Academy Branch of Cluj-Napoca

Paulina Mitrea
Technical University Cluj-Napoca, Romania

Alexandru Imbroane
Babes-Bolyai University Cluj-Napoca, Romania

Alexandru Ioan Mitrea
Technical University Cluj-Napoca, Romania

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Cite this paper as:

P. Mitrea, A. Imbroane, A. I. Mitrea, M.-C. Anisiu, Multi-resolution analysis, numerical methods and reverse dynamics, integrated in software instruments for performance improving in the satellite remote sensing, 2006 IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics, vol. I, Proceedings, 2006, pag. 475-+

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[1] Paul M. Mather, “Computer Processing of Remotely-Sensed Images” John Wiley & Sons, Chichester-New York, 1999.
[2] A.I. Mitrea, “Continuous-Time and Discrete-Time Transformations” , Mediamira, Cluj-Napoca, 2005
[3] O. Agratini, I. Chiorean, Gh. Coman, R. Trimbitas, “Numerical Analysis and Approxomation Theory”, vol.3, Cluj-Napoca University Press, 2002
[4] O. Stanasila, “ Mathematical Analysis of Signals and Wavelets”, Matrix1997
[5] ISO/IEC 12087 International Standard in Image Processing – Edition 1995. 02.15
[6] W.K.Pratt, “PIKS Foundations”- New-York 1998

2006

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