• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38B no.9
• /
• pp.736-743
• /
• 2013

In IRST(infrared search and track) system, the small target detection is very difficult because the IR(infrared) image have various clutter and sensor noise. The noise and clutter similar to the target intensity value produce many false alarms. In this paper. We propose the adaptive detection method which obtains optimal target detection using the image intensity information and the prior information of target. In order to enhance the target, we apply the human visual system. we determine the adaptive threshold value using image intensity and distance measure in target enhancement image. The experimental results indicate that the proposed method can efficiently extract target region in various IR images.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.47 no.5
• /
• pp.62-68
• /
• 2010

This study is to identify target locations with low false alarms on thermal infrared images obtained from natural environment. The proposed method is different from the previous researches because it uses morphology filters for Gabor response images instead of an intensity image in initial detection stage. This method does not need precise extracting a target silhouette to distinguish true targets or clutters. It comprises three distinct stages. First, morphological operations and adaptive thresholding are applied to the summation image of four Gabor responses of an input image to find out salient regions. The locations of extracted regions can be classified into targets or clutters. Second, local texture features are computed from salient regions of an input image. Finally, the local texture features are compared with the training data to distinguish between true targets and clutters. The multi-layer perceptron having three layers is used as a classifier. The performance of the proposed method is proved by using natural infrared images. Therefore it can be applied to real automatic target detection systems.

• Korean Journal of Remote Sensing
• /
• v.36 no.3
• /
• pp.441-448
• /
• 2020

GMTI (Ground Moving Target Indication) radar system can detect ground moving targets and can provide position and velocity information of each target. However, the azimuth position of target has some offset because of the hardware errors such as mechanical tolerances. In this case, an error occurs no matter how accurate the monopulse ratio is. In this paper, target position correction method in azimuth direction has been proposed. The received sum and difference signals of monopulse GMTI system are post-processed to correct the target azimuth angle error. This method is simple and adaptive for nonhomogeneous area because it can be implemented by using only software without any hardware modification or addition.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.2
• /
• pp.225-233
• /
• 2024

Active sonar transmits sound waves to detect covertly maneuvering underwater objects and detects the signals reflected back from the target. However, in addition to the target's echo, the active sonar's received signal is mixed with seafloor, sea surface reverberation, biological noise, and other noise, making target recognition difficult. Conventional techniques for detecting signals above a threshold not only cause false detections or miss targets depending on the set threshold, but also have the problem of having to set an appropriate threshold for various underwater environments. To overcome this, research has been conducted on automatic calculation of threshold values through techniques such as Constant False Alarm Rate (CFAR) and application of advanced tracking filters and association techniques, but there are limitations in environments where a significant number of detections occur. As deep learning technology has recently developed, efforts have been made to apply it in the field of underwater target detection, but it is very difficult to acquire active sonar data for discriminator learning, so not only is the data rare, but there are only a very small number of targets and a relatively large number of non-targets. There are difficulties due to the imbalance of data. In this paper, the image of the energy distribution of the detection signal is used, and a classifier is learned in a way that takes into account the imbalance of the data to distinguish between targets and non-targets and added to the existing technique. Through the proposed technique, target misclassification was minimized and non-targets were eliminated, making target recognition easier for active sonar operators. And the effectiveness of the proposed technique was verified through sea experiment data obtained in the East Sea.

• Korean Journal of Optics and Photonics
• /
• v.33 no.6
• /
• pp.310-316
• /
• 2022

In this paper, the difference in modulation transfer function (MTF) results according to the change in the angle of a slant target when measuring a presampled MTF was confirmed, and the difference was reduced by fitting the edge spread function graph obtained to reduce the error by the target's rotation. Due to the feature of the presampled MTF method, the spatial frequency changed due to the sensor's projected intensity being changed by the target's rotation, and it was confirmed that the difference in the MTF value occurred depending on the rotation angle of the target. In this paper, the MTF was calculated after fitting only one column of the acquired image. It was confirmed that the rotation error is smaller compared to the case of the presampled MTF method and this fitting method can be applied to a scene that contains various target angles, such as auto-focusing using the MTF.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.1200-1202
• /
• 2012

미래 전장에서 다수의 지상로봇들이 획득한 표적정보는 원격에 위치한 통제장치로 실시간 전송된다. 통제장치는 정찰영상과 디지털 지도위에 지상로봇들의 현재 동작 상태를 표시한다. 본 논문은 다수의 지상로봇들로부터 동일 표적에 대한 위치 정보가 수신될 경우 이에 대한 융합처리 방안을 제안한다. 이러한 융합처리를 통해 표적위치 정확도를 개선할 수 있으며, 이동 경로 추정을 통해 표적의 초기 탐지시간을 단축할 수 있다.

• Defense and Technology
• /
• no.1 s.71
• /
• pp.28-32
• /
• 1985

Aquila 는 거의 10여년 전부터 표적획득지시 등 정채임무를 해온것으로 알고 있다. 그 이후 수많은 새로운 자전임무와 요구가 제기되어 있으며, 그중 어떤것들은 Aquila와 상이한 특징을 가진 무인항공기에 의해서 성취되어 왔다. 미육군은 이러한 변화하는 상황하에서 여기세 기술하고 있는 작전요구에 충족할 수 있는 최적의 무기체계를 획득하기 위하여 준비중에 있다.

• Defense and Technology
• /
• no.8 s.126
• /
• pp.44-51
• /
• 1989

NATO의 작은 국가들중 가장 큰 나라로 자부심을 갖고 있는 네덜란드는 향후 10년간 육군의 전투력 증강에 최우선을 둘 것이며, 육군의 전투력은 다음과 같은 6개 분야에서 대폭 증강 될 것이다 .50대의 공격용 헬기 획득에 따른 대전차능력 증강 . $C^3I$ 전력증강 .현대화된 자전 장비 도입 .정면방어 제1군단 방공시스템 개선 .전장감시와 표적획득체계 개선 .개인 화생방 방호장비 개선

• 대한방사선치료학회:학술대회논문집
• /
• 1999.05a
• /
• pp.17-17
• /
• 1999

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.4
• /
• pp.43-49
• /
• 2021

A small infrared image homing system is a tracking system that has an infrared image sensor that identifies a target through the day and night infrared image processing of the target on the ground and searches for and detects the target with respect to the main target. This paper describes the development of a board equipped with a high-speed CPU and FPGA (Field Programmable Gate Array) to identify target through real-time image processing by acquiring target information through infrared image. We propose a CPU-FPGA combining architecture for CPU and FPGA selection and video signal processing, and also describe a controller design using FPGA to control infrared sensor.