• Title/Summary/Keyword: 다중영상

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Landcover classification by coherence analysis from multi-temporal SAR images (다중시기 SAR 영상자료 긴밀도 분석을 통한 토지피복 분류)

  • Yoon, Bo-Yeol;Kim, Youn-Soo
    • Aerospace Engineering and Technology
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    • v.8 no.1
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    • pp.132-137
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    • 2009
  • This study has regard to classification by using multi-temporal SAR data. Multi-temporal JERS-1 SAR images are used for extract the land cover information and possibility. So far, land cover information extracted by high resolution aerial photo, satellite images, and field survey. This study developed on multi-temporal land cover status monitoring and coherence information mapping can be processing by L band SAR image. From July, 1997 to October, 1998 JERS SAR images (9 scenes) coherence values are analyzed and then extracted land cover information factors, so on. This technique which forms the basis of what is called SAR Interferometry or InSAR for short has also been employed in spaceborne systems. In such systems the separation of the antennas, called the baseline is obtained by utilizing a single antenna in a repeat pass.

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Multi-Small Target Tracking Algorithm in Infrared Image Sequences (적외선 연속 영상에서 다중 소형 표적 추적 알고리즘)

  • Joo, Jae-Heum
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.1
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    • pp.33-38
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    • 2013
  • In this paper, we propose an algorithm to track multi-small targets in infrared image sequences in case of dissipation or creation of targets by using the background estimation filter, Kahnan filter and mean shift algorithm. We detect target candidates in a still image by subtracting an original image from an background estimation image, and we track multi-targets by using Kahnan filter and target selection. At last, we adjust specific position of targets by using mean shift algorithm In the experiments, we compare the performance of each background estimation filters, and verified that proposed algorithm exhibits better performance compared to classic methods.

Nonlinear Moving Picture Editor for Multiple Watermarking (다중 워터마킹을 지원하는 비선형 동영상 편집기)

  • 윤석민;한경섭;정순기
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.2
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    • pp.124-129
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    • 2002
  • Currently, image processing are used widely and have various types of characteristics with the applications of VOD(Video on demand), the web casting services, the video conference systems and virtual realities. Using the scene change, at every time of video image transitions, an editor can classify the video context and also require a function of in(Boxing insertion. Digital watermarking provides a solution to illegal copying of digital contents and has many other useful applications, including web broadcast monitoring, transaction tracking, authentication, copy control and device control. The Purpose of this thesis is to implement of nonlinear moving picture editor for the multiple watermarking. For the effective watermarking performance, this thesis considers the protection of image quality reduction and robustness for hiding information concurrently.

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Particulate Distribution Map of Tidal Flat using Unsupervised Classification of Multi-Temporary Satellite Data (다중시기 위성영상의 무감독분류에 의한 갯벌의 입자 분포도)

  • 정종철
    • Korean Journal of Remote Sensing
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    • v.18 no.2
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    • pp.71-79
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    • 2002
  • This research presents particulate distribution map of tidal flats of Hampyung bay using reflectance which extracted from satellite data and field survey data during same periods. The spectrum of particulate composition obtained from Landsat TM data was analysed and 7 scenes of satellite image were classified with ISODATA and K-MEANS methods. The results of unsupervised classification were estimated with in-situ data. The classification accuracy of ISODATA and K-MAMS methods were 84.3% and 85.7%. For validation of classified results of multi-temporal satellite images, TM image of May 1999(reference data), which was classified with field survey data was compared with classified results of multi-temporary satellite data.

A Study of Waveform Inversion for Improvement of Sub-Salt Migration Image (암염돔 하부 구조의 구조보정 영상 개선을 위한 파형역산 기법 연구)

  • Ha, Wan-Soo;Pyun, Suk-Joon;Son, Woo-Hyun;Shin, Chang-Soo;Ko, Seung-Won;Seo, Young-Tak
    • Geophysics and Geophysical Exploration
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    • v.11 no.3
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    • pp.177-183
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    • 2008
  • The sub-salt imaging technique becomes more crucial to detect the hydro-carbonates in petroleum exploration as the target reservoirs get deeper. However, the weak reflections from the sub-salt structures prevent us from obtaining high fidelity sub-salt image. As an effort to overcome this difficulty, we applied the waveform inversion by implementing multi-grid technique to the sub-salt imaging. Through the comparison between the conventional waveform inversion using fixed grid and the multi-grid technique, we confirmed that the waveform inversion using multi-grid technique has advantages over the conventional fixed grid waveform inversion. We showed that the multi-grid technique can complement he velocity estimation result of the waveform inversion for imaging the sub-salt structures, of which velocity model cannot be obtained correctly by the conventional fixed grid waveform inversion.

3-D Multiple-Input Multiple-Output Interferometric ISAR Imaging (3차원 Multiple-Input Multiple-Output 간섭계 ISAR 영상형성기법)

  • Kang, Byung-Soo;Bae, Ji-Hoon;Yang, Eun-Jung;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.6
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    • pp.564-571
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    • 2015
  • In this paper, we propose a multiple-input, multiple-output(MIMO) interferometric radar network system to generate three-dimensional (3-D) MIMO interferometric inverse synthetic aperture radar(InISAR) image. In the MIMO interferometric radar network system, the MIMO InISAR image can be formed by an incoherent summation of multiple bistatic InISAR images that show 3-D scatterers of a target observed at different bistatic interfermetric configurations, respectively. Because bistatic-sccattering physics of a target at different viewpoints are visible in the 3-D MIMO InISAR image, it can provide various scatterering physics properties of a target, and can be used for target classification as a useful feature vector. Simulations validate that our proposed method successfully finds locations of scatterers of a target in MIMO radar interferometric network system.

Optical security system using multi-phase separation and phase-wrapping method (다중 위상 분할과 위상 랩핑 방법을 이용한 광 암호화 시스템)

  • Shin Chang Mok;Kim Soo Joong;Seo Dong Hoan
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.42 no.6 s.336
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    • pp.31-38
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    • 2005
  • In this paper, we proposed an optical security system based on a gray-image exclusive-OR encryption using multi-phase separation and phase-wrapping method. For encryption, a gray image is sliced into binary images, which have the same pixel value, and these images are encrypted by modified XOR rules with binary random images. The XORed images and the binary images respectively combined and converted into full phase images, called an encrypted image and a key image. For decryption, when the encrypted image and key image are used as inputs on optical elements, Practically due to limited controllability of phase range in optical elements, the original gray image cannot be efficiently reconstructed by these optical elements. Therefore, by decreasing the phase ranges of the encrypted image and key image using a phase-wrapping method and separating these images into low-level phase images using multi-phase separation, the gray image can be reconstructed by optical elements which have limited control range. The decrytion process is simply implemented by interfering a multiplication result of encrypted image and key image with reference light. The validity of proposed scheme is verified and the effects, which are caused by phase limitation in decryption process, is analyzed by using computer simulations.

Multiple color normalization for effective object detection (효율적 객체정보 검출을 위한 다중색상 정규화)

  • 이은선;김상훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.589-591
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    • 2002
  • 본 연구에서는 영상안에서의 중요한 객체정보를 검출하기 위한 전처리 과정으로 효율적인 색상정보 정규화에 의한 영역분석 방법을 제안한다. 다중색상 정규화는 기존의 화소내 색상성분간의 정규화와 모든 화소에 대한 성분별 정규화를 복합적으로 사용함으로써, 객체의 영역들이 갖는 고유 색상성분의 분포를 좀더 특정 공간에 집중시키고 영상분할을 용이하게 한다. 이러한 방법의 효과를 입증하기 위해 가상의 입력영상을 제작하여 기존의 알고리즘과 본 논문에서의 방법을 함께 적용, 비교평가한다.

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Multi Fingertip Detection Method (다중 손끝점 검출 기법)

  • Yu, Sunjin;Koh, Wan Ki;Kim, Sang Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1718-1720
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    • 2013
  • 본 논문에서는 다중 손 끝점 검출을 위해 특징 추출 기법 및 이를 기반으로 한 손 끝점 검출 알고리즘을 제안한다. 특징 추출을 위해 Local Binary Feature(LBP)을 사용하였고 특징의 차원을 축소하기 위해 Principal Component Analysis(PCA) 기법을 이용하였다. 손 끝점 판별을 위해 Reduced multivariate polynomial Model(RM) Classifier를 사용하여 실험 결과 제안된 손 끝점 검출 기법이 다양한 환경에서 동작 하는 것을 확인 하였다.

Image Demorieing Based on a Multi-scale Neural Network (다중 스케일 네트워크 기반 영상 내 모아레 무늬 제거 기법)

  • Park, Hyunkook;Vien, An Gia;Lee, Chul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.263-265
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    • 2020
  • 본 논문에서는 다중 스케일로 구성된 뉴럴 네트워크를 이용하여 영상 내 모아레 무늬을 제거하는 기법을 제안한다. 제안하는 기법은 영상 피라미드를 생성하여 모아레 무늬를 구성하는 다양한 주파수 범위의 정보를 제거한다. 각 branch는 Multi-scale Feature Block (MFB)과 Tone-Mapping Block (TMB)으로 구성하여 효과적으로 모아레 현상을 제거하고 저하된 색상 저하를 복원한다. 컴퓨터 모의실험을 통해 제안하는 기법이 기존 기법에 비해서 높은 모아레 제거 성능을 보이는 것을 확인한다.

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