• 대한원격탐사학회지
• /
• 제22권5호
• /
• pp.337-350
• /
• 2006

The characteristics of neighborhood correlation images for change detection were explored at different spatial resolution scales. Bi-temporal QuickBird datasets of Las Vegas, NV were used for the high spatial resolution image analysis, while bi-temporal Landsat $TM/ETM^{+}$ datasets of Suwon, South Korea were used for the mid spatial resolution analysis. The neighborhood correlation images consisting of three variables (correlation, slope, and intercept) were evaluated and compared between the two scales for change detection. The neighborhood correlation images created using the Landsat datasets resulted in somewhat different patterns from those using the QuickBird high spatial resolution imagery due to several reasons such as the impact of mixed pixels. Then, automated binary change detection was also performed using the single and multiple neighborhood correlation image variables for both spatial resolution image scales.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권10호
• /
• pp.3475-3489
• /
• 2014

Here we present a simple flame detection method for an infrared (IR) thermal camera based real-time fire surveillance digital signal processor (DSP) system. Infrared thermal cameras are especially advantageous for unattended fire surveillance. All-weather monitoring is possible, regardless of illumination and climate conditions, and the data quantity to be processed is one-third that of color videos. Conventional IR camera-based fire detection methods used mainly pixel-based temporal correlation functions. In the temporal correlation function-based methods, temporal changes in pixel intensity generated by the irregular motion and spreading of the flame pixels are measured using correlation functions. The correlation values of non-flame regions are uniform, but the flame regions have irregular temporal correlation values. To satisfy the requirement of early detection, all fire detection techniques should be practically applied within a very short period of time. The conventional pixel-based correlation function is computationally intensive. In this paper, we propose an IR camera-based simple flame detection algorithm optimized with a compact embedded DSP system to achieve early detection. To reduce the computational load, block-based calculations are used to select the candidate flame region and measure the temporal motion of flames. These functions are used together to obtain the early flame detection algorithm. The proposed simple algorithm was tested to verify the required function and performance in real-time using IR test videos and a real-time DSP system. The findings indicated that the system detected the flames within 5 to 20 seconds, and had a correct flame detection ratio of 100% with an acceptable false detection ratio in video sequence level.

• 한국통신학회논문지
• /
• 제30권6C호
• /
• pp.541-550
• /
• 2005

이 논문에서는 모수와 비모수 신호 검파에서 널리 쓰이는 네 통계량 사이의 결합 분포와 상관계수를 얻는다. 아울러, 상관계수들의 상한과 하한을 얻고, 상관계수들 사이의 눈여겨볼 만한 관계를 살펴본다. 또한, 몇 가지 분포에서 얻은 상관계수 값을 표와 그림으로 정리하여 쉽게 참고할 수 있도록 하였다. 이 논문에서 얻은 결과는 여러 검정 통계량을 서로 견주어 볼 때 쓸모 있을 것이다.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2003년도 춘계학술대회
• /
• pp.84-89
• /
• 2003

Water leak is one of topics with great concern in Korea and many other countries, because of decreasing water supplies and the deterioration of old pipeworks. Correlation techniques have been widely used in leak detection of water pipes, which allow to locate a leak point based on the correlation of leak noise at two sites along water pipes. In this study, both the cross-correlation method and the conventional arrival time difference method are applied in order to analyze and to locate a leak point of a water pipe. In experiment, a 150 m of whole length waterwork pipeline system was constructed in a ground, and several types of leak noise were installed on the pipeline in order to control leak condition. Both the cross-correlation technique and the arrival time difference method showed favorable results at leak detection with the experimental pipeline system.

• 한국통신학회논문지
• /
• 제30권7C호
• /
• pp.633-641
• /
• 2005

이 논문에서는 신호 검파에서 널리 쓰이는 세 개의 비모수 통계량 사이의 결합 분포와 상관계수를 얻는다. 아울러, 상관계수들의 상한과 하한을 얻고, 상관계수들 사이의 눈여겨 볼만한 관계를 살펴본다. 또한, 몇 가지 의미있는 분포에서 얻은 구체적인 상관계수 값을 표와 그림으로 정리하였다. 이 논문에서 얻은 결과는 여러 검정 통계랑을 서로 견주어 볼 때 쓸모 있을 것이다.

• 대한원격탐사학회지
• /
• 제24권5호
• /
• pp.445-452
• /
• 2008

Preliminary results are reported on ship detection using coherence images computed from cross-correlating images of multi-look-processed dual-polarization data (HH and HV) of ENVISAT ASAR. The traditional techniques of ship detection by radars such as CFAR (Constant False Alarm Rate) rely on the amplitude data, and therefore the detection tends to become difficult when the amplitudes of ships images are at similar level as the mean amplitude of surrounding sea clutter. The proposed method utilizes the property that the multi-look images of ships are correlated with each other. Because the inter-look images of sea surface are covered by uncorrelated speckle, cross-correlation of multi-look images yields the different degrees of coherence between the images and water. In this paper, the polarimetric information of ships, land and intertidal zone are first compared based on the cross-correlation between HH and HV images, In the next step, we examine the technique when the dual-polarization data are split into two multi-look images, It was shown that the inter-look cross-correlation method could be applicable in the performance improvement of small ship detection and the land masking, It was also found that a simple combination of coherence images from each co-polarised (HH) inter-look and cross-polarised (HV) inter-look data can provide much higher target-detection possibilities.

• 한국통신학회논문지
• /
• 제31권7C호
• /
• pp.672-679
• /
• 2006

Cognitive radio, which is designed to dynamically adapt its transmission to the environments, is believed to be one of the fundamental techniques for future spectrum utilization. As the first step of cognitive radio, spectrum sensing is treated as the most important technique, through which cognition is well explained. In this paper, we propose a spectral correlation based detection method for spectrum sensing. An unlicensed secondary user system operating in TV broadcast bands is taken as an example. Based on the cyclostationarity of communication signals, spectral correlation function is used to minimize the effect of random noise and interference. Energy measurement and peak detection based criteria are proposed. Simulation results show that the proposed detection method outperforms the energy detection and is more suitable for spectrum sensing in cognitive radios.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
• /
• pp.262-265
• /
• 2007

Preliminary results are reported on ship detection using coherence images computed from cross-correlating images of multi-look-processed dual-polarization data (HH and HV) of ENVISAT ASAR. The traditional techniques of ship detection by radars such as CFAR (Constant False Alarm Rate) rely on the amplitude data, and therefore the detection tends to become difficult when the amplitudes of ships images are at similar level as the mean amplitude of surrounding sea clutter. The proposed method utilizes the property that the multi-look images of ships are correlated with each other. Because the inter-look images of sea surface are covered by uncorrelated speckle, cross-correlation of multi-look images yields the different degrees of coherence between the images and water. The polarimetric information of ships, land and intertidal zone are first compared based on the cross-correlation between HH and HV. In the next step, we examine the technique when the dual-polarization data are split into two multi-look Images.

• 한국컴퓨터정보학회논문지
• /
• 제25권7호
• /
• pp.57-64
• /
• 2020

본 논문에서는 상관필터를 이용한 영상 추적에서 탐색 영역의 크기 조절이 가능한 재탐지 방법을 제안한다. 실제 장비를 통해 영상 추적 기능을 실행할 때에는 표적이 특정 물체에 가리고 다시 나타나는 일이 빈번하게 일어나는데, 따라서 표적의 소실 판단과 재탐지 방법이 필요하다. 본 알고리즘은 강인한 추적을 위해 커널 상관필터를 사용한다. 일반적인 상관필터를 활용한 영상 추적 알고리즘에서는 표적을 탐지하는 범위가 학습된 필터의 크기에 국한된다. 하지만 표적의 가림이 오랜 시간 지속될수록 표적의 위치는 예측된 위치에서 벗어날 가능성이 커지고, 따라서 충분히 큰 범위에서 표적의 탐색이 이루어져야 한다. 제안하는 방법은 매 프레임 2%씩 탐색 범위를 넓히며 재탐지를 시도하여 성공률을 높인다. 실험은 항공에서 촬영된 4가지 영상을 활용하였고, 제안한 알고리즘은 재탐지가 어려운 데이터셋에서도 성공적인 결과를 보였다.

• 전자공학회논문지
• /
• 제51권9호
• /
• pp.3-10
• /
• 2014

LTE 시스템의 하향링크 동기 신호는 PSS (primary synchronization signal)과 SSS (secondary synchronization signal)로 나눠져 있으며, 미리 정해져 있는 3 개의 신호 중 하나가 전송되는 PSS 신호를 먼저 찾은 다음 SSS 신호를 검출하게 된다. 본 논문에서는 부분 상관값 계산 구간의 길이가 다른 검출기들을 동시에 사용하는 PSS 검출 방식을 제안한다. 우선 구간별 부분 상관값을 다시 활용함으로써 여러 개의 검출기를 동시에 사용함에 따른 계산량의 증가를 최소화한다. 또한, 동시에 사용된 검출기들의 결과 값 중에서 가장 믿을 만한 하나의 값을 선택하기 위하여 임시 주파수 오차 값(tentative frequency offset)을 이용한 동기식 최종 추정치 선택 방법을 제안한다. 컴퓨터 모의실험을 통하여, 제안된 방식이 넓은 주파수 오차 범위에서 안정적인 PSS 검출 성능을 보임을 검증하고자 한다.