• Title/Summary/Keyword: spot level method

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Exterior Orientation Parameters Determination from Satellite Imagery RPC Camera Model (위성영상 RPC 카메라 모델로부터 외부표정요소 결정)

  • Lee Hyo Sung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.1
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    • pp.59-67
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    • 2005
  • This paper proposes method for determining exterior orientation parameters (EOPs) from the RPC mathematical camera model of the satellite image. SPOT satellite stereo pair is pre-tested using the proposed method. As results that, geopositioning errors are similar with those of the original EOPs. Differences between EOPs determined from the RPC and original EOPs were small. IKONOS Geo-level stereo pair is tested by the proposed method. Results of this method are compared with those of the RPC block adjustment method which have been verified in reported studies. Consequently, the proposed method showed accuracy similar to the RPC block adjustment method. The digital elevation models (DEMs) of sample area acquired by the two method almost did not have a difference.

A Study on the Thermally Stimulated Current in CdS Single Crystal (CdS단결정의 열랄격전류에 관한 연구)

  • 유용택
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.7 no.2
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    • pp.59-65
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    • 1982
  • In this paper, the CdS single crystal, which was grown as piper-polish method, was Ion-bombarded with Sb and In, and the thermally stimulated current of the spot that was Ionbombarded was measured. In the sample which was individually bombarded by Sb and In, the over-lapping peak was found, this over lapping peak was separated, by the method of thermal cleaning, showing the trap levels of 0.25(eV) and 0.31(eV) at the temperature of 147(K) and 181(K). While the spot is being cooled down and excited with photolight at the same time, the trap level 0.25(eV) disappeared and the new trap level of 0.85(eV) appeared. It can be said that the better photo-conductive crystals, the T.S.C is better measured.

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Application of Rock Splitter to Rock Excavation in an Open pit (노천현장 암 파쇄 굴착에 따른 할암공법의 적용성 고찰)

  • Won, Yeon-Ho;Kang, Choo-Won
    • Explosives and Blasting
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    • v.28 no.1
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    • pp.63-70
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    • 2010
  • This study is investigated the extent of the noise and ground vibration in an adjacent zone of a cattle pen and an antiquated housing structures for judgement of the spot applicability on the extents of the noise and ground vibration of the rock-splitting method by an oil pressure. It is studied by measuring and analysing in an adjacent position the extents of the noise and ground vibration according to the work process of the rock-splitting method, such as drilling, rock-splitting, arranging rock, loading and by being compared with the permitted level on the noise and ground vibration fixed at the spot. To the results, it is identified that the influence to the noise has to be considered, even if the rock-splitting method is applied as an excavation method to lower a ground vibration by the classification on blasting method of the ministry of land, transport and marine affairs.

A Study on the EO-1 Hyperion's Optimized Band Selection Method for Land Cover/Land Use Map (토지피복지도 제작을 위한 초분광 영상 EO-1 Hyperion의 최적밴드 선택기법 연구)

  • Jang Se-Jin;Lee Ho-Nam;Kim Jin-Kwang;Chae Ok-Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.3
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    • pp.289-297
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    • 2006
  • The Land Cover/Land Use Map have been constructed from 1998, which has hierarchical structure according to land cover/land use system. Level 1 classification Map have done using Landsat satellite image over whole Korean peninsula. Level II classification Map have been digitized using IRS-1C, 1D, KOMPSAT and SPOT5 satellite images resolution-merged with low resolution color images. Level II Land Cover/Land Use Map construction by digitizing method, however, is consuming enormous expense for satellite image acquisition, image process and Land Cover/Land Use Map construction. In this paper, the possibility of constructing Level II Land Cover/Land Use Map using hyperspectral satellite image of EO-1 Hyperion, which is studied a lot recently, is studied. The comparison of classifications using Hyperion satellite image offering more spectral information and Landsat-7 ETM+ image is performed to evaluate the availability of Hyperion satellite image. Also, the algorithm of the optimal band selection is presented for effective application of hyperspectral satellite image.

DTM GENERATION OF RADARSAT AND SPOT SATELLITE IMAGERY USING GROUND CONTROL POINTS EXTRACTED FROM SAR IMAGE

  • PARK DOO-YOUL;KIM JIN-KWANG;LEE HO-NAM;WON JOONG-SUN
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.667-670
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    • 2005
  • Ground control points(GCPs) can be extracted from SAR data given precise orbit for DTM generation using optic images and other SAR data. In this study, we extract GCPs from ERS SAR data and SRTM DEM. Although it is very difficult to identify GCPs in ERS SAR image, the geometry of optic image and other SAR data are able to be corrected and more precise DTM can be constructed from stereo optic images. Twenty GCPs were obtained from the ERS SAR data with precise Delft orbit information. After the correction was applied, the mean values of planimetric distance errors of the GCPs were 3.7m, 12.1 and -0.8m with standard deviations of 19.9m, 18.1, and 7.8m in geocentric X, Y, and Z coordinates, respectively. The geometries of SPOT stereo pair were corrected by 13 GCPs, and r.m.s. errors were 405m, 705m and 8.6m in northing, easting and height direction, respectively. And the geometries of RADARS AT stereo pair were corrected by 12 GCPs, and r.m.s. errors were 804m, 7.9m and 6.9m in northing, easting and height direction, respectively. DTMs, through a method of area based matching with pyramid images, were generated by SPOT stereo images and RADARS AT stereo images. Comparison between points of the obtained DTMs and points estimated from a national 1 :5,000 digital map was performed. For DTM by SPOT stereo images, the mean values of distance errors in northing, easting and height direction were respectively -7.6m, 9.6m and -3.1m with standard deviations of 9.1m, 12.0m and 9.1m. For DTM by RADARSAT stereo images, the mean values of distance errors in northing, easting and height direction were respectively -7.6m, 9.6m and -3.1m with standard deviations of 9.1m, 12.0m and 9.1m. These results met the accuracy of DTED level 2

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Novel Measurement method for Image Sticking based on Human Vision System

  • Park, Gi-Chang;Lee, Jong-Seo;Souk, Jun-Hyung;Yi, Jun-Sin
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1478-1481
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    • 2007
  • This paper introduced a measurement method for image sticking based on human vision perception. Existing image sticking quantification method is mostly different from visible level by human perception. It takes a long time to measure image sticking which is degraded by time due to using a spot photometer, therefore many test samples could not be evaluated in a given short period of time in mass production line. However, the new measurement method in this paper is possible to evaluate a large quantity of samples in fast and high correlation with human perceptual level of image sticking.

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Unsupervised Image Classification through Multisensor Fusion using Fuzzy Class Vector (퍼지 클래스 벡터를 이용하는 다중센서 융합에 의한 무감독 영상분류)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.19 no.4
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    • pp.329-339
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    • 2003
  • In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.

A Study of Blind Spot Analysis for Public Transportation by Level of Service (LOS) in Public Transportation Supply Service (GIS를 이용한 시내버스와 도시철도 공급서비스 수준 측면의 대중교통 사각지대 분석에 관한 연구)

  • Chang, Kyung Uk;Kim, Hwang Bae;Kim, Young Seok;Oh, Jae Hak
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.3D
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    • pp.383-389
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    • 2011
  • The purpose of this paper is to analyze the blind spot for public transportation by level of service(LOS) in public transportation supply service. For the purpose, we proposed indices of service coverage area, service frequency and hours of service and analysis method for them. Service coverage area analysis is to decide station location and network design for the maximum beneficiary area. Moreover, we can use the service frequency is for the maximum service frequency decision and hours of service is for the minimum operation hours. The results of this study are applied to the plan of minimum supply service, minimum service frequency and minimum operation hours for city and national public transportation plan.

A Graph Model and Analysis Algorithm for cDNA Microarray Image (cDNA 마이크로어레이 이미지를 위한 그래프 모델과 분석 알고리즘)

  • Jung, Ho-Youl;Hwang, Mi-Nyeong;Yu, Young-Jung;Cho, Hwan-Gue
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.7
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    • pp.411-421
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    • 2002
  • In this Paper we propose a new Image analysis algorithm for microarray processing and a method to locate the position of the grid cell using the topology of the grid spots. Microarray is a device which enables a parallel experiment of 10 to 100 thousands of test genes in order to measure the gene expression. Because of the huge data obtained by a experiment automated image analysis is needed. The final output of this microarray experiment is a set of 16-bit gray level image files which consist of grid-structured spots. In this paper we propose one algorithm which located the address of spots (spot indices) using graph structure from image data and a method which determines the precise location and shape of each spot by measuring the inclination of grid structure. Several experiments are given from real data sets.

Reducing the Interior Noise of the Korean High-speed Train Using Geometric Acoustic Method (기하음향 기법을 적용한 한국형 고속철도 실내소음 저감 방안)

  • Kim, Kwan-Ju;Park, Jin-Kyu
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.6
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    • pp.431-436
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    • 2002
  • The interior sound pressure level of the Korean high-speed train(KHST) is predicted by geometrical acoustic method. For the Purpose of assuring the prediction of Interior noise of KHST by the geometrical acoustic scheme, calculated sound level values of the Korean train express(KTX) by Identical geometrical method are compared with measured values of KTX prototype vehicle by experiment. Contribution of individual sound source of KHST vehicle Into the interior response positions is calculated and sound sources are classified in influential order. Hence, it is reasonable approach to reduce sound power of most contributing noise source first. Sensitivity of the interior response position's sound pressure level (SPL) with respect to train wall sections' transmission loss are carried on and acoustically sensitive spot is identified, for example window area for passenger cabin case. Those contribution and sensitivity analysis results are suggested to design quieter train efficiently.