Mohsen Bahrami; Behzad Parsi
Volume 7, Issue 4 , January 2015, , Pages 73-79
Abstract
In this paper a low cost calibration method which can calibrate with measuring the sensor displacement is suggested. To verify this calibration method a two-axis table, which is expensive, with artificial neural network (ANN) for mapping non-linear relationships between the inputs and outputs is used. ...
Read More
In this paper a low cost calibration method which can calibrate with measuring the sensor displacement is suggested. To verify this calibration method a two-axis table, which is expensive, with artificial neural network (ANN) for mapping non-linear relationships between the inputs and outputs is used. The result illustrates the efficiency of this calibration method. In order to design the artificial neural network the MATLAB software is used.
H. Dehghani; A. Reyvandi; M. B. Fallah-Pour; K. Mousazadeh
Volume 6, Issue 1 , April 2013, , Pages 47-56
Abstract
SAR radar imaging system is a supplement for electro optic remote sensing system and has been used over the past two decades. Understanding the behavior of these systems is difficult, because the complexity of these systems, especially in the mapping of the signal space to image space. This problem, ...
Read More
SAR radar imaging system is a supplement for electro optic remote sensing system and has been used over the past two decades. Understanding the behavior of these systems is difficult, because the complexity of these systems, especially in the mapping of the signal space to image space. This problem, development and use of this technology from the performance perspective and opposing with it from the performance passive defense, severely limited. In this paper a model for the performance of SAR imaging systems is provide. This model is like the impulse response function for linear systems independent of time. In other words, the proposed model is the impulse response of two-dimensional SAR systems and byusing it the SAR imaging process can be simulated. Using this model, many phenomena such as speckle noise shaping, can be described and the factors and parameters that are effective in the imaging system can be analyzed. Validity of the two-dimensional impulse response or functional model that presented in this paper, by comparing the results obtained in this paper and the expected results reported in reliable sources in this area has been proved.
