• Title/Summary/Keyword: 위치표정

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Positioning Accuracy Analysis of KOMPSAT-3 Satellite Imagery by RPC Adjustment (RPC 조정에 의한 KOMPSAT-3 위성영상의 위치결정 정확도 분석)

  • Lee, Hyoseong;Seo, Doochun;Ahn, Kiweon;Jeong, Dongjang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_1
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    • pp.503-509
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    • 2013
  • The KOMPSAT-3 (Korea Multi-Purpose Satellite-3), was launched on May 18, 2012, is an optical high-resolution observation mission of the Korea Aerospace Research Institute and provides RPC(Rational Polynomial Coefficient) for ground coordinate determination. It is however need to adjust because RPC absorbs effects of interior-exterior orientation errors. In this study, to obtain the suitable adjustment parameters of the vendor-provided RPC of the KOMPSAT-3 images, six types of adjustment models were implemented. As results, the errors of two and six adjustment parameters differed approximately 0.1m. We thus propose the two parameters model, the number of control points are required the least, to adjust the KOMPSAT-3 R PC. According to the increasing the number of control points, RPC adjustment was performed. The proposed model with a control point particularly did not exceed a maximum error 3m. As demonstrated in this paper, the two parameters model can be applied in RPC adjustment of KOMPSAT-3 stereo image.

Detection of the Unified Control Points for RPC Adjustment of KOMPSAT-3 Satellite Image (KOMPSAT-3 위성영상의 RPC 보정을 위한 국가 통합기준점 탐지)

  • Lee, Hyoseong;Han, Dongyeob;Seo, Doochun;Park, Byungwook;Ahn, Kiweon
    • Korean Journal of Remote Sensing
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    • v.30 no.6
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    • pp.829-837
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    • 2014
  • The KOMPSAT-3 can acquire panchromatic stereo image with 0.7 m spatial resolution, and provides Rational Polynomial Coefficient (RPC). In order to determine ground coordinate using the provides RPC, which include interior-exterior orientation errors, its adjustment is needed by using the Ground Control Point (GCP). Several thousands of national Unified Control Points (UCPs) are established and overall distributed in the country by the Korean National Geographic Information Institute (NGII). UCPs therefore can be easily searched and downloaded by the national-control-point-record-issues system. This paper introduced the point-extraction method and the distance-bearing method to detect of UCPs. As results, the distance-bearing method was better detected through the experiment. RPC adjustment using this method was compared with that by only one UCP and GCPs using GPS. The proposed method was more accurate than the other method in the horizontal. As demonstrated in this paper, the proposed UCPs detection method could be replaced GPS surveying for RPC adjustment.

Gabor Wavelet Analysis for Face Recognition in Medical Asset Protection (의료자산보호에서 얼굴인식을 위한 가보 웨이블릿 분석)

  • Jun, In-Ja;Chung, Kyung-Yong;Lee, Young-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.10-18
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    • 2011
  • Medical asset protection is important in each medical institution especially because of the law on private medical record protection and face recognition for this protection is one of the most interesting and challenging problems. In recognizing human faces, the distortion of face images can be caused by the change of pose, illumination, expressions and scale. It is difficult to recognize faces due to the locations of lights and the directions of lights. In order to overcome those problems, this paper presents an analysis of coefficients of Gabor wavelets, kernel decision, feature point, size of kernel, for face recognition in CCTV surveillance. The proposed method consists of analyses. The first analysis is to select of the kernel from images, the second is an coefficient analysis for kernel sizes and the last is the measure of changes in garbo kernel sizes according to the change of image sizes. Face recognitions are processed using the coefficients of experiment results and success rate is 97.3%. Ultimately, this paper suggests empirical application to verify the adequacy and the validity with the proposed method. Accordingly, the satisfaction and the quality of services will be improved in the face recognition area.

Detection of Fracture Signals of Low Prestressed Steel Wires in a 10 m PSC Beam by Continuous Acoustic Monitoring Techniques (연속음향감지기법을 이용한 긴장력이 감소된 10 m PSC보의 PS 강선 파단음파 감지)

  • Youn, Seok-Goo;Lee, Chang-No
    • Journal of the Korea Concrete Institute
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    • v.22 no.1
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    • pp.113-122
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    • 2010
  • Corrosion of prestressing tendons and wire fractures in grouted post-tensioned prestressed concrete bridges have been considered as a serious safety problem. In bridge evaluation the condition of prestressing tendons should be inspected, and if corroded tendons are found, the loss of tendon area should be included when we calculate the ultimate strength. In the previous study, it was evaluated that continuous acoustic monitoring techniques could be considered as a reliable non-destructive method for detecting wire fractures of fully grouted post-tensioned prestressing tendons. In the present study, an experimental test was performed for detecting wire fractures of post-tensioned prestressing tendons which are prestressed lower than current design level. A 10 m prestressed concrete beam was fabricated, which included two tendons prestressed 66 percentage and 40 percentage of tensile strength, respectively. The corrosion of two tendons was induced by an accelerated corrosion equipment and the test beam was monitored by using seven acoustic sensors and a continuous acoustic monitoring system. From each prestressing tendon, two acoustic signals of wire fractures were successfully detected and source locations were estimated within 20 mm error. Based on the test results, it is considered that continuous acoustic monitoring techniques can be applied to detect low-prestressed wire fracture in fully grouted post-tensioned prestressed concrete beams.

Damage Analysis and Accuracy Assessment for River-side Facilities using UAV images (UAV 영상을 활용한 수변구조물 피해분석 및 정확도 평가)

  • Kim, Min Chul;Yoon, Hyuk Jin;Chang, Hwi Jeong;Yoo, Jong Su
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.1
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    • pp.81-87
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    • 2016
  • It is important to analyze the exact damage information for fast recovery when natural disasters cause damage on river-side facilities such as dams, bridges, embankments etc. In this study, we shows the method to effectively damage analysis plan using UAV(Unmanned aerial vehicle) images and accuracy assessment of it. The UAV images are captured on area near the river-side facilities and the core methodology for damage analysis are image matching and change detection algorithm. The result(point cloud) from image matching is to construct 3-dimensional data using by 2-dimensional images, it extracts damage areas by comparing the height values on same area with reference data. The results are tested absolute locational precision compared by post-processed aerial LiDAR data named reference data. The assessment analysis test shows our matching results 10-20 centimeter level precision if external orientation parameters are very accurate. This study shows suggested method is very useful for damage analysis in a large size structure like river-side facilities. But the complexity building can't apply this method, it need to the other method for damage analysis.

Estimation of Biomass for 27 Years Old Korean Pine (Pinus koraiensis) Plantation in Gangneung, Gangwon-Province (강릉지방 27년생 잣나무조림지의 바이오매스에 관한 연구)

  • Lee, Young-Jin;Seo, Yeon-Ok;Park, Sang-Moon;Pyo, Jung-Kee;Kim, Rae-Hyun;Son, Yeong-Mo;Lee, Kyeong-Hak;Kim, Hyung-Ho
    • Journal of agriculture & life science
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    • v.43 no.1
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    • pp.1-8
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    • 2009
  • This study was conducted to examine the biomass, allometric equations, net primary production, above and total biomass expansion factors and stem density values for 27 years old Korean pine(Pinus koraiensis Siebold et Zuccarini) plantation at the Gangneung National Forest. After considering of the diameter distributions in the $20m{\times}20m$ plot measurement, a total of 5 representative sample trees were destructively sampled to measure green weights and dry weights of the four(root, stem, branch and foliage) protions of Korean pine trees. According to the results of this study, total dry weights were 117.6 kg/tree and 59.9 ton/ha. Aboveground biomass and total (above and belowground) biomass for this species were 59.9 and 82.4 ton/ha, respectively. Ratios of root to aboveground biomass were 0.38. Net primary production of aboveground biomass and belowground biomass were 9.4 and 11.3 ton/ha, respectively. Stem density was $0.49g/cm^{3}$. Above and total biomass expansion factors were 1.78 and 2.19, repectively. This information could be very useful to calculate carbon sequestrations by applying stem desity values and biomass expansion factors for Korean pine species.

A Fast Digital Elevation Model Extraction Algorithm Using Gradient Correlation (Gradient Correlation을 이용한 고속 수치지형표고 모델 추출 방법)

  • Chul Soo Ye;Byung Min Jeon;Kwae Hi Lee
    • Korean Journal of Remote Sensing
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    • v.14 no.3
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    • pp.250-261
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    • 1998
  • The purpose of this paper is to extract fast DEM (Digital Elevation Model) using satellite images. DEM extraction consists of three parts. First part is the modeling of satellite position and attitude, second part is the matching of two images to find corresponding points of them and third part is to calculate the elevation of each point by using the results of the first and second part. The position and attitude modeling of satellite is processed by using GCPs. A area based matching method is used to find corresponding points between the stereo satellite images. The elevation of each point is calculated using the exterior orientation parameters obtained from modeling and conjugate points from matching. In the DEM generation system, matching procedure holds most of a processing time, therefore to reduce the time for matching, a new fast matching algorithm using gradient correlation and fast similarity measure calculation method is proposed. In this paper, the SPOT satellite images, level 1A 6000$\times$6000 panchromatic images are used to extract DEM. The experiment result shows the possibility of fast DEM extraction with the satellite images.

Pseudo Image Composition and Sensor Models Analysis of SPOT Satellite Imagery of Non-Accessible Area (비접근 지역에 대한 SPOT 위성영상의 Pseudo영상 구성 및 센서모델 분석)

  • 방기인;조우석
    • Proceedings of the KSRS Conference
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    • 2001.03a
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    • pp.140-148
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    • 2001
  • The satellite sensor model is typically established using ground control points acquired by ground survey Of existing topographic maps. In some cases where the targeted area can't be accessed and the topographic maps are not available, it is difficult to obtain ground control points so that geospatial information could not be obtained from satellite image. The paper presents several satellite sensor models and satellite image decomposition methods for non-accessible area where ground control points can hardly acquired in conventional ways. First, 10 different satellite sensor models, which were extended from collinearity condition equations, were developed and then the behavior of each sensor model was investigated. Secondly, satellite images were decomposed and also pseudo images were generated. The satellite sensor model extended from collinearity equations was represented by the six exterior orientation parameters in 1$^{st}$, 2$^{nd}$ and 3$^{rd}$ order function of satellite image row. Among them, the rotational angle parameters such as $\omega$(omega) and $\phi$(phi) correlated highly with positional parameters could be assigned to constant values. For non-accessible area, satellite images were decomposed, which means that two consecutive images were combined as one image. The combined image consists of one satellite image with ground control points and the other without ground control points. In addition, a pseudo image which is an imaginary image, was prepared from one satellite image with ground control points and the other without ground control points. In other words, the pseudo image is an arbitrary image bridging two consecutive images. For the experiments, SPOT satellite images exposed to the similar area in different pass were used. Conclusively, it was found that 10 different satellite sensor models and 5 different decomposed methods delivered different levels of accuracy. Among them, the satellite camera model with 1$^{st}$ order function of image row for positional orientation parameters and rotational angle parameter of kappa, and constant rotational angle parameter omega and phi provided the best 60m maximum error at check point with pseudo images arrangement.

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Entre l' espace sculptural et, l' espace architectural (조각공간과 건축공간의 관계)

  • Lee Bong-Soon
    • Journal of Science of Art and Design
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    • v.5
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    • pp.175-216
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    • 2003
  • 시각이 아닌 오감체계에 관계하는 때문에 현대미술은 외관만으로 이루어지지 않는다. 곧 예술 작품들은 하나의 장소를 관객에게 제공하여, 심리적, 물리적, 또는 예술이 존재여부에 관한 갖가지 질문들을 제기한다. 모든 예술 작품은 메시지를 담고 있다. 이러한 관점에서 개념 또는 아이디어에 우선하는 현대미술은 그들의 메시지를 전달하기 위해 우리의 사회적 배경과 보편성을 간과할 수 없다. 우리의 물체 인식은 결국 우리의 경험체계를 통해서 이루어진다고 간주하면, 현대미술의 새로운 형태는 보편적 특질들이 그 특질들 이상의 상태로 보여지도록 유도한다. 이러한 창조 행위의 시작은 현대인간의 문화 읽기이며 문화는 인간과 자연의 긴밀한 관계 속에서 이루어진다. 역사는 지나간 시간을 기록한 것이며, 이 또한 우리의 지식과 정보 체계에 속한다. 회화가 평면에 입체감을 표현하는 것과는 달리 조각은 자연 속, 즉 실재공간 속에 있는 모든 것을 표현하기 때문에 시각(visible) 이외에도 촉각(tangible)이 관여하게 된다. 조각의 특수성은 촉각(tangible)이 우선하는 것이다. 그러나 시각과 촉각은 매우 적극적으로 미학적 경험에 참여하는 감각으로 이들을 서로 분리하여 생각하기가 무척 힘들다. 왜냐하면 어떤 경험에 있어서 기억연합 또는 감각 연합에 의해 하나의 감각이 다른 여러 감각을 촉발하여 연쇄반응 혹은 '형태 Gestalt'를 이루기 때문이다. 대부분의 근대 조각 작품들은 조각대 위에 고정되어 있는 구상 형태를 지녔기 때문에 조각작품 자체가 지닌 외적 형태와 그 자체내의 공간이 더욱 중요한 역할을 하게 된다. 말하자면 미로의 비너스 조각은 대리석과 비너스 형태의 결합이다. 때문에 관객은 그 주변을 돌면서 우리 신체의 내적 공간과 시각에 의존하면서 그 작품의 중량감, 양감, 형태 등의 특질과 만나게 된다. 그러나 현대 추상조각과 개념조각은 이보다 좀 더 확장된 공간을 제시한다. 이것은 현대조각이 건축개념을 수용한 때문이며, 그것이 때로는 안 쪽에서 때로는 바깥 쪽에서 그 형태를 결정하며, 보고 듣고 느끼고 만져지고 왕래하는 등의 인식 영역인 관객의 오감체계에 직접적으로 관계하기 때문이다. 우리는 건축 공간에서, 시각 외에도 청각이나 촉각을 통해 지각한다. 대강 요약하자면 공간은 객관적 상태이기보다는 인식영역의 주관성을 통해 받아들여진 우리가 지나쳐온 것들이나 체험된 공간이다. 여기서 '받아들여지는' 일은 과거 경험들의 주체들, 언어와 문화에 의해서 이루어져야 한다. 건물, 즉 둘러싸고 있는 공간은 중앙이 아니다. 중앙은 바로 나, 둘러싸여진 나이다 나는 나의 동작에 따라 그 공간의 시스템을 변화시킬 수 있는 유동적인 중심이다 (이때의 나는 위치의 축을 변화시키는 것이 아니라, 그들을 탐색하는 것이다). 작품이 대형화되면서 이러한 건축공간개념이 현대 조각가들의 작품개념에 이용되었다고 본다. 현대미술에서 In situ작업과 특정한 장소를 위한 기획되어진 최근의 프로젝트 작업들은 대형화되어있으며, 건축에서처럼 특정한 장소를 만들어낸다. 로잘린드 크라우스(Rosalind Krauss)는 또한 '조각영역의 확장 (La sculpture dans le champ elargi)'에서 현대조각이 건축과 환경의 영역을 침범하고 있음을 지적한다. 그녀에 의하면, 1960년대 이후의 현대조각은 이러한 탈 귀속성과 조각의 자율성을 획득함으로써 조각은 건축물이 아니면서 건축물 주변에 위치하거나 풍경이 아니면서 풍경 안에 자리잡게 되었다. 이와 같이 현대의 대형조각 작품들 - 예를 들어 대형화된 미니별 조각이나 개념미술, 또는 대지예술 등 -은 풍경의 실재가 아니기 때문에 환경으로부터 구분된다고 언급하고 있다. 이들 조각은 더 이상 만져지는 실체이거나 점유하는 공간의 상징언어를 지닌 조각의 범주에 한정되지 않게 된다. 조각과 건축의 공간인식을 인체의 크기와 관련하여 보면, 메를로 퐁티(Merleau-Ponty)의 '지각의 현상학' 은 우리가 논하는 작품의 공간체계를 분석하는데 지침표가 되어준다. 메를로 퐁티가 말하는 지각은 정신에 의해서만 이루어지는 것이 아니며, 몸과 함께 이루어지는 현상이다. 지각은 우리가 부단히 눈을 움직이고 만지고 냄새를 맡고 주변을 돌아 다니면서 세계와의 직접적인 접촉을 통해 이루어 진다. 몸의 움직임을 통하여 나타나는 신체적 표현은 몸 자체가 원천적으로 지향적 활동의 주체로서 파악되는 한 이미 항상(恒常, constant) 의미 현상을 지니다. 우리의 지각이 움직이는 몸의 지향 활동을 통해 이루어진다는 것은 우리의 몸의 지향활동이 의식에 선행함을 의미한다. 몸의 움직임은 의식의 의도를 표현할 때에만 의미를 나타내는 기호가 되는 것이 아니라, 이미 그 자체가 살아있는 표현이다. 우리의 몸짓, 표정은 우리 의식이 의도하기 전에 이미 의미가 담겨있다. 몸은 그 자체가 기호(Signe)적이다. 결국. 메를로 퐁티에게서 세상(le monde entier)은 그 자신이 주체가 되어 인식한다, 그리고 이 인식 구조에는 우리의 몸이 구심점(le point centripete)이 된다. 만약 우리가 이러한 메를로 퐁티의 개념을 염두에 둔다면, 예술작품의 특성에 매우 중요한 역할을 하고 있는 재료와 크기를 이해할 수 있을 것이다.

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System Development for Measuring Group Engagement in the Art Center (공연장에서 다중 몰입도 측정을 위한 시스템 개발)

  • Ryu, Joon Mo;Choi, Il Young;Choi, Lee Kwon;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.20 no.3
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    • pp.45-58
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    • 2014
  • The Korean Culture Contents spread out to Worldwide, because the Korean wave is sweeping in the world. The contents stand in the middle of the Korean wave that we are used it. Each country is ongoing to keep their Culture industry improve the national brand and High added value. Performing contents is important factor of arousal in the enterprise industry. To improve high arousal confidence of product and positive attitude by populace is one of important factor by advertiser. Culture contents is the same situation. If culture contents have trusted by everyone, they will give information their around to spread word-of-mouth. So, many researcher study to measure for person's arousal analysis by statistical survey, physiological response, body movement and facial expression. First, Statistical survey has a problem that it is not possible to measure each person's arousal real time and we cannot get good survey result after they watched contents. Second, physiological response should be checked with surround because experimenter sets sensors up their chair or space by each of them. Additionally it is difficult to handle provided amount of information with real time from their sensor. Third, body movement is easy to get their movement from camera but it difficult to set up experimental condition, to measure their body language and to get the meaning. Lastly, many researcher study facial expression. They measures facial expression, eye tracking and face posed. Most of previous studies about arousal and interest are mostly limited to reaction of just one person and they have problems with application multi audiences. They have a particular method, for example they need room light surround, but set limits only one person and special environment condition in the laboratory. Also, we need to measure arousal in the contents, but is difficult to define also it is not easy to collect reaction by audiences immediately. Many audience in the theater watch performance. We suggest the system to measure multi-audience's reaction with real-time during performance. We use difference image analysis method for multi-audience but it weaks a dark field. To overcome dark environment during recoding IR camera can get the photo from dark area. In addition we present Multi-Audience Engagement Index (MAEI) to calculate algorithm which sources from sound, audience' movement and eye tracking value. Algorithm calculates audience arousal from the mobile survey, sound value, audience' reaction and audience eye's tracking. It improves accuracy of Multi-Audience Engagement Index, we compare Multi-Audience Engagement Index with mobile survey. And then it send the result to reporting system and proposal an interested persons. Mobile surveys are easy, fast, and visitors' discomfort can be minimized. Also additional information can be provided mobile advantage. Mobile application to communicate with the database, real-time information on visitors' attitudes focused on the content stored. Database can provide different survey every time based on provided information. The example shown in the survey are as follows: Impressive scene, Satisfied, Touched, Interested, Didn't pay attention and so on. The suggested system is combine as 3 parts. The system consist of three parts, External Device, Server and Internal Device. External Device can record multi-Audience in the dark field with IR camera and sound signal. Also we use survey with mobile application and send the data to ERD Server DB. The Server part's contain contents' data, such as each scene's weights value, group audience weights index, camera control program, algorithm and calculate Multi-Audience Engagement Index. Internal Device presents Multi-Audience Engagement Index with Web UI, print and display field monitor. Our system is test-operated by the Mogencelab in the DMC display exhibition hall which is located in the Sangam Dong, Mapo Gu, Seoul. We have still gotten from visitor daily. If we find this system audience arousal factor with this will be very useful to create contents.