• Title/Summary/Keyword: Image Signature

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Comparison between Possibilistic c-Means (PCM) and Artificial Neural Network (ANN) Classification Algorithms in Land use/ Land cover Classification

  • Ganbold, Ganchimeg;Chasia, Stanley
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.1
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    • pp.57-78
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    • 2017
  • There are several statistical classification algorithms available for land use/land cover classification. However, each has a certain bias or compromise. Some methods like the parallel piped approach in supervised classification, cannot classify continuous regions within a feature. On the other hand, while unsupervised classification method takes maximum advantage of spectral variability in an image, the maximally separable clusters in spectral space may not do much for our perception of important classes in a given study area. In this research, the output of an ANN algorithm was compared with the Possibilistic c-Means an improvement of the fuzzy c-Means on both moderate resolutions Landsat8 and a high resolution Formosat 2 images. The Formosat 2 image comes with an 8m spectral resolution on the multispectral data. This multispectral image data was resampled to 10m in order to maintain a uniform ratio of 1:3 against Landsat 8 image. Six classes were chosen for analysis including: Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC), the six features reflected differently in the infrared region with wheat producing the brightest pixel values. Signature collection per class was therefore easily obtained for all classifications. The output of both ANN and FCM, were analyzed separately for accuracy and an error matrix generated to assess the quality and accuracy of the classification algorithms. When you compare the results of the two methods on a per-class-basis, ANN had a crisper output compared to PCM which yielded clusters with pixels especially on the moderate resolution Landsat 8 imagery.

3D Medical Image Data Watermarking Applied to Healthcare Information Management System (헬스케어 정보 관리 시스템의 3D 의료영상 데이터 다중 워터마킹 기법)

  • Lee, Suk-Hwan;Kwon, Ki-Ryong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11A
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    • pp.870-881
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    • 2009
  • The rapid development of healthcare information management for 3D medical digital library, 3D PACS and 3D medical diagnosis has addressed security issues with medical IT technology. This paper presents multiple 3D medical image data for protection, authentication, indexing and diagnosis information hiding applied to healthcare information management. The proposed scheme based on POCS watermarking embeds the robust watermark for doctor's digital signature and information retrieval indexing key to the distribution of vertex curvedness and embeds the fragile watermark for diagnosis information and authentication reference message to the distance difference of vertex. The multiple embedding process designs three convex sets for robustness, fragileness and invisibility and projects 3D medical image data onto three convex sets alternatively and iteratively. Experimental results confirmed that the proposed scheme has the robustness and fragileness to various 3D geometric and mesh modifiers at once.

A Study on the Classification for Satellite Images using Hybrid Method (하이브리드 분류기법을 이용한 위성영상의 분류에 관한 연구)

  • Jeon, Young-Joon;Kim, Jin-Il
    • The KIPS Transactions:PartB
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    • v.11B no.2
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    • pp.159-168
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    • 2004
  • This paper presents hybrid classification method to improve the performance of satellite images classification by combining Bayesian maximum likelihood classifier, ISODATA clustering and fuzzy C-Means algorithm. In this paper, the training data of each class were generated by separating the spectral signature using ISODATA clustering. We can classify according to pixel's membership grade followed by cluster center of fuzzy C-Means algorithm as the mean value of training data for each class. Bayesian maximum likelihood classifier is performed with prior probability by result of fuzzy C-Means classification. The results shows that proposed method could improve performance of classification method and also perform classification with no concern about spectral signature of the training data. The proposed method Is applied to a Landsat TM satellite image for the verifying test.

Electronic Approval System of XML-based Business Document using Crypto Algorithm (암호 알고리즘을 이용한 XML 기반 비즈니스문서의 전자 결재 시스템)

  • Kim, Chang-Su;Jung, Hoe-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.11
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    • pp.1983-1988
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    • 2006
  • There are gradually built on electronic commerce and business information system for the effective and automated use of internet while the mainstream of industry moves on information. It is necessary that a company should develop a electronic approval system because the business documents have application to an electronic commerce, business information system as well Currently, electronic approval system on groupware is using the way of inserting the image of an approval signature, which is vulnerable on a security by attacks of fraudulent use of electrical signature and eavesdropping on electronic documents. In this paper, we implementation XML form generator based on DTD having business documents structure for creating a valid business XML documents. we designed electronic approval system based on secured XML which transfers encrypted documents. For the security issues of written XML business documents, it makes use of the crypto algorithm having high performance transaction by the interchange of public key between a server and a client.

ISAR IMAGING FROM TARGET CAD MODELS

  • Yoo, Ji-Hee;Kwon, Kyung-Il
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.550-553
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    • 2005
  • To acquire radar target signature, various kinds of target are necessary. Measurement is one of the data acquiring method, but much time and high cost is required to get the target data from the real targets. Even if we can afford that, the targets we can access are very limited. To obtain target signatures avoiding these problems, we build the target CAD (Computer Aided Design) model for the calculation of target signatures. To speed up RCS calculation, we applied adaptive super-sampling and tested quite complex tank CAD model which is 1.4 hundred of thousands facet. We use calculated RCS data for ID range profile and 2D ISAR (Inverse Synthetic Aperture Radar) image formation. We adopted IFFT (Inverse Fast Fourier Transform) algorithm combined with polar formatting algorithm for the ISAR imaging. We could confirm the possibility of the construction of database from the images of CAD models for target classification applications.

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Application of Spectral Mixture Analysis to Geological Mapping using LANDSAT 7 ETM+ and ASTER Images: Mineral Potential Mapping of Mongolian Plateau

  • Kim Seung Tae;Lee Kiwon
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.425-427
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    • 2004
  • Motivation of this study is based on these two aspects: geologic uses of ASTER and application scheme of Spectral Mixture Analysis. This study aims at geologic mapping for mineral exploration using ASTER and LANDSAT 7 ETM+ at Mongolian plateau region by SMA. After basic pre-processing such as the normalization, geometric corrections and calibration of reflectance, related to endmembers selection and spectral signature deviation, both methods using spectral library and using PPI(Pixel Purity Index) are performed and compared on a given task. Based on these schemes, SMA is performed using LANDSAT 7 ETM+ and ASTER image. As the results, fraction map showing geologic rock types are enough to meet purposes such as geologic mapping and mineral potential mapping in the case of both uses of these different types of remotely sensed images. It concluded that this approach based on SMA with LANDSAT and ASTER is regarded as one of effective schemes for geologic remote sensing.

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Simultaneous Measurements of Velocity Fields at Two Vertically Crossing Planes by PIV Systems Using Polarization Technique (편광기법을 이용한 수직교차평면의 PIV 속도장 동시측정)

  • Kim Sang Moon;Yoon Sang Youl;Kwon Sung Hoon;Kim Kyung Chun
    • 한국가시화정보학회:학술대회논문집
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    • 2004.11a
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    • pp.60-63
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    • 2004
  • A new PIV technique was developed for decreasing optical error which was created during simultaneous measurements of velocity fields at a wall-normal plane and wall-parallel plane by a plane PIV and a Stereoscopic PIV system. The two Nd:Yag laser systems and three CCD cameras were. synchronized to obtain instantaneous velocity fields at the same time. To avoid optical noise at the crossing line by the two laser light sheets, a new optical arrangement using polarization was applied. The obtained velocity fields show the existence of hairpin packet structure vividly and the idealized hairpin vortex signature is confirmed by experiment.

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IR signature modeling using an equivalent thermal circuit (등가 열회로를 이용한 물체의 적외선 특성 모델링)

  • 홍현기;한성현;홍경표;최종수
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.1
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    • pp.122-129
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    • 1998
  • For generation and analysis of the multi-sensory image, we propose a new three dimensional (3D) modeling method considering an iternal heat source. We represent the heat conduction process within th object as an equivalent thermal circuit. Therefore, without a complex computation, our modeling approach can obtain thermal features of the object. By using the faceted model, the proposed method can express the accurate visual signatures of the object. Comparing the estimates datum with the obtained surface temperatures, we have demonstrated that the proposed method can provide a precise thermal features. The thermal images by out model is applicable to simulate a tracking loop of an IR missile.

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FRIP Stystem For Region-based Image Retrieval (영역기반 검색환경을 위한 FRIP 시스템)

  • 고병철;변혜란
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.499-501
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    • 2000
  • 본 논문에서는 영역기반 검색환경을 제공하는 FRIP(Finding Region in the Pictures) 시스템을 소개한다. FRIP 시스템은 영역 기반 검색환경을 제공하기 위해서, 우선적으로 영상을 분할하고, 각 분할된 영역으로부터 색상, 질감, 크기, 모양, 위치 정보와 같은 최적의 특징 벡터들을 추출하여 색인화시킨다. 그런 뒤에, 사용자가 검색하고자 하는 영역과 검색 영상 수 k를 입력하면, 유사성 측정 식에 의해 가장 유사한 k만큼의 영상을 우선 순위 형태로 사용자에 보여주게 된다. 본 시스템에서는 영상을 분할하기 위해서 기본적인 RGB 색상계를 확장(Scaling 및 이동(Shifting) 알고리즘을 통해 영상의 대비 정도가 향상된 새로운 색상계로 변환시키고, 원형 필터를 설계하여, 영역 안에 포함된 의미 없는 작은 영역을 제거하도록 하였다. 그리고 이렇게 분할된 각 영역들로부터, 본 시스템에서 제안하는 모양 기술자인 MRS(Modified Radius-based Signature)를 포함하여 5가지의 최적의 특징 벡터들을 전처리 단계에서 데이터베이스에 색인으로 저장하고 유사성 측정을 위한 수치로 사용하였다.

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Simultaneous Measurements of Velocity Fields at Two Vertically Crossing Planes by PIV Systems Using Polarization Technique (편광기법을 이용한 수직교차평면의 PIV 속도장 동시측정)

  • Kwon S. H.;Yoon S. Y,;Kim K. C.
    • Journal of the Korean Society of Visualization
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    • v.2 no.1
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    • pp.32-38
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    • 2004
  • A new PIV technique was developed for decreasing optical error which was created during simultaneous measurements of velocity fields at a wall-normal plane and wall-parallel plane by a plane PIV and a Stereo-PIV systems. For experimental study, two different Reynolds number based on momentum thickness, Re$_{ =514 and 934 were generated in a blowing type wind tunnel under the condition of zero pressure gradient. The two Nd:Yag laser systems and three CCD cameras were synchronized. to obtain instantaneous velocity fields at the same time. To avoid optical noise at the crossing line by the two laser light sheets, a new optical arrangement using polarization was applied. The obtained velocity fields show the existence of hairpin packet structure vividly and the idealized hairpin vortex signature is confirmed by experiment.

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