New approach to analysis and new principles for optimization of remote sensing systems

Asadov Hikmat Hamid; Hajizadeh Anver Tariyel; Kerimov Mahmud Jalal; Isayev Azer Azad

doi:10.1117/12.718907

3 May 2007 New approach to analysis and new principles for optimization of remote sensing systems

Asadov Hikmat Hamid, Hajizadeh Anver Tariyel, Kerimov Mahmud Jalal, Isayev Azer Azad

Proceedings Volume 6555, Sensors and Systems for Space Applications; 655513 (2007) https://doi.org/10.1117/12.718907
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The new approach to the analysis and optimization of remote sensing systems is describe. According to the proposed concept RS systems should be optimized using energetic - information criterion, which does mean that the maximal amount of information should be obtained upon fixed value of energy of input signal. The new multi - step principle of optimization is proposed. The examples of application of this principle are given. Also the principle of implicit dimensionality lowering for optimization systems with fading and generating signals is proposed. The principle was used to optimize aerospace remote sensing systems, with varying distance as for as investigated Earth's surface. Questions related with optimization of systems of active remote sensing taking into account of energetic losses of sensing signal in the investigated medium are considered. Physical model of such systems, envisaging energetic losses is considered. Theorems, optimizing grade regimes of system's output signal when correction of fading is carried out and is not carried out are proved.

Citation Download Citation

Asadov Hikmat Hamid, Hajizadeh Anver Tariyel, Kerimov Mahmud Jalal, and Isayev Azer Azad "New approach to analysis and new principles for optimization of remote sensing systems", Proc. SPIE 6555, Sensors and Systems for Space Applications, 655513 (3 May 2007); https://doi.org/10.1117/12.718907

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KEYWORDS

Remote sensing

Sensing systems

Active remote sensing

Ozone

Signal attenuation

Signal to noise ratio

Systems modeling

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