Image analysis for airborne reconnaissance and missile applications

Review of pulse-coupled neural networks

“…The time signature is widely applied in the related fields of pattern recognition [63][64][65][66][67][68][69][70][71][72][73]. Rughooputh et al use an improved PCNN (called by pulse-coupled-multilayer perceptron hybrid neural network) to monitor Condition [63] and apply this network into forensic application [64].…”

“…Subsequently, they employ the PCNN to recognize navigation sign [65]. Waldemark et al use the PCNN to process and analyze satellite image [66], airborne reconnaissance image as well as missile image [67]. Becanovic utilizes the PCNN and SOM to finish image object classification [68] while Muresan uses the PCNN and discrete Fourier transform to carry on pattern recognition [69].…”

Detecting Roman land boundaries in aerial photographs using Radon transforms

“…[6,20,21]) and in more general pattern recognition applications (e.g. [18,28]). A number of numerical techniques have been employed for solving these problems, from the use of simple edge filtering procedures, geometrical analysis [9], segment tracing algorithms [16] and the application of two-dimensional Fourier transforms [20].…”

Real Time Image Rotation Using Dynamic Reconfiguration

“…Conventional FPGAS form the basis of many applications [2][3][4][5]. These components have allowed the association of the flexibility and the specificity.…”