Byoung-Ik Kim

Small target detection using cross product based on temporal profile in infrared image sequences

This paper presents a new small target detection method using the cross product of the temporal pixels based on the temporal profile in infrared (IR) image sequences. The temporal characteristics of small targets and the various backgrounds are different. A new algorithm classifies target pixels and the background pixels through the hypothesis testing using the cross product of pixels on the temporal profile and predicts the temporal backgrounds based on the results. The small targets are detected by subtracting the predicted temporal background profile from the original temporal profile. For the performance comparison between the proposed algorithm and the conventional algorithms, the receiver operating characteristics (ROC) curves is computed in experiment. Experimental results show that the proposed algorithm has better discrimination and a lower false alarm rate than the conventional methods.

Implementation of a reticle seeker missile simulator for jamming effect analysis

In this paper, we implement a reticle seeker missile simulator on MATLAB-SIMULINK to analyze the jamming effect of the spin-scan and conscan reticle seeker. The DIRCM (Directed Infrared Countermeasures) system uses the pulsing flashes of infrared (IR) energy and its frequency and intensity have influence on the missile guidance system. Our simulation results show that jamming effect is indicated significantly when jammer frequency and reticle frequency are similar and present a 3D trajectory of missile motions by jamming.

Recursive multi-SEs NWTH method for small target detection in infrared images

Mathematical morphology techniques, such as white top-hat (WTH) and new white top-hat (NWTH) transformation have been researched for small target detection application in the infrared (IR) images. However, its target enhancement performance still depends on its SE size set by users. To solve this problem, we propose a recursive multi-structuring elements (multi-SEs) NWTH method with an automatic decision mechanism of the SE size. The proposed method based on the NWTH transformation updates the multi-SEs by calculating candidate target-to-clutter ratio gain (CTCRG) of the NWTH images by the multi-SEs. Through a recursive procedure, final multi-SEs is automatically selected, and then small targets can be detected in a summation image of NWTH images by the final multi-SEs.

DIRCM jamming effect analysis of spin-scan reticle seeker

The function of DIRCM (directed infrared countermeasures) jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. The DIRCM jamming uses the pulsing flashes of infrared (IR) energy and its frequency, phase and intensity have the influence on the missile guidance system. In this paper, we analyze the DIRCM jamming effect of the spin-scan reticle seeker. The simulation results show that the jamming effect is greatly influenced by frequency, phase and intensity of the jammer signal.

An Iterative Bilateral Weighted Median filter for the removal of High-Density impulse noise

For removing the impulse noise with better edge and fine detail preservation, we propose an iterative bilateral weighted median (IBWM) filter. Instead of the specified weight of WM filters, we propose a novel weight fuction, bilateral weight (BW) where is the combination of domain weight (DW) in spatial domain and range weight (RW) in intensity domain. The DW is designed to give higher weight to pixels that are spatially close to a center pixel. And the RW is designed to give higher weight to pixels that are similar to the mean value of pixels in the filtering window. Finally, the rates of DW and RW are controlled according to noise distributions in a filtering window. For ensuring high accuracy of noise detection, the IBWM filter uses iterative process using increasing filtering window size. Simulation results indicate that our algorithm provides a significant improvement than any other existing techniques.

Shape Extraction of Near Target Using Opening Operator with Adaptive Structure Element in Infrared hnages

Near targets in the infrared (IR) images have the steady feature for inner region and the transient feature for the boundary region. Based on these features, this paper proposes a new method to extract the fine target shape of near targets in the IR images. First, we detect the boundary region of the candidate targets using the local variance weighted information entropy (WIE) of the original images. And then, a coarse target region can be estimated based on the labeling of the boundary region. For the coarse target region, we use the opening filter with an adaptive structure element to extract the fine target shape. The decision of the adaptive structure element size is optimized for the width information of target boundary by calculating the average WIE in the enlarged windows. The experimental results show that a proposed method has better extraction performance than the previous threshold algorithms.