Reduce spike noise from artificial aperture radar (SAR) images using Corvette conversion

Subject Areas : Electronics Engineering

Ameneh Rajabpour boshehri ¹ , Ahmad Keshavarz ²

1 - Bushehr Islamic Azad University, Bushehr, Iran
2 - Bushehr Islamic Azad University, Bushehr, Iran

Received: 2021-05-21 Accepted : 2021-05-21 Published : 2017-12-22

Keywords:

Abstract :

In this paper, an adaptive method based on carroll conversion is introduced to reduce spike noise. Speckle noise is a multiplicative impurity that in this paper we first convert to mass with a preprocessing step. An interest function is then introduced to threshold the Coralt coefficients, which has three general thresholds. An objective function, based on an estimated noise correlation with the edges of the output image, then provides the optimal parameters in the threshold of the interest function by searching with a general search algorithm called the particle swarm optimization algorithm. The appropriate objective function is then considered for the PSO algorithm search and the results of speckle reduction are measured by the Violet method.