• Title/Summary/Keyword: Distance Map

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A Study on the Cadastral Parcel Data in Geographic Information System (GIS에 있어서 지적필지 Data에 관한 연구)

  • Yeon, Sang-Ho;Cha, Dek-Kie
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.2 s.2
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    • pp.97-104
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    • 1993
  • The Cadastre assumed as one of the most important Part of GIS has the highest priority in GIS model and Organization of the Cadasual embraces the modern methods of gaining and collecting geometric type cadastral data concerning on the land and it's ownership. Geneally, the measurement of the topologigraphic map offers great convenience for the architects to device. But the graphic precision of the value from the map is too low for many users, the large scale digital map as well as cadastral map can solve these problems. So it is necessary to get the coordinates of the characteristic points and the graphic information. In this paper, for calculating the point of measured element such as distance, and it's adjustment. This paper dicusses the methodes also, the combination of GIS data and Cadastral data and the geo-reference system, topology, data system, data modeling and so on.

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Analysis of Passenger Transfer Patterns Based on Transit Smart Card Data in Seoul (서울시 대중교통 통행자 환승패턴 분석)

  • Song, Ji-Young;Eom, Jin-Ki;Park, Jong-Hoon;Kim, Dae-Sung;Choi, Myoung-Hun
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.563-570
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    • 2011
  • This study analyze the transfer patterns of passengers in Seoul based on transit smart card data that was observed in 2010. The smart card records maximum four times of transfer and reports that approximately 90% of trips were less than one transfer and the remains were more than 2 transfers. We focus on trips with more than 3 transfers to figure out the relationship between transit service and regional connectivities. The results show that the average travel time, distance, fare are 45 minutes, 18.3km, and 1,119(KW) respectively. We develope a map for investigating transfer patterns at a regional level(dong and gu). By doing this, three types of transfers are observed as: 1) trips of which origin and destination is either same or near, 2) trips with short distance, and 3) long distance trip with low transit connectivities.

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Convolution and Deconvolution Algorithms for Large-Volume Cosmological Surveys

  • Park, KeunWoo;Rossi, Graziano
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.2
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    • pp.50.4-51
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    • 2015
  • Current and planned deep multicolor wide-area cosmological surveys will map in detail the spatial distribution of galaxies and quasars over unprecedented volumes, and provide a number of objects with photometric redshifts more than an order of magnitude bigger than that of spectroscopic redshifts. Photometric information is statistically more significant for studying cosmological evolution, dark energy, and the expansion history of the universe at a fraction of the cost of a full spectroscopic survey, but intrinsically carries a bias due to noise in the distance estimates. We provide convolution- and deconvolution-based algorithms capable of removing this bias -- thus able to exploit the full cosmological information -- in order to reconstruct intrinsic distributions and correlations between distance-dependent quantities. We then show some direct applications of our techniques to the VIMOS Public Extragalactic Redshift Survey (VIPERS) and the Sloan Digital Sky Survey (SDSS) datasets. Our methods impact a broader range of studies, when at least one distance-dependent quantity is involved; hence, they will be useful for upcoming large-volume surveys, some of which will only have photometric information.

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An efficient space-leaping method using double leaping (이중 도약을 이용한 효율적인 공간 도약법)

  • 이정진;신병석;신영길
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.3_4
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    • pp.109-116
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    • 2003
  • Space leaping is one of accelerated image-order volume rendering. This method accelerates rendering speed by finding and leaping the empty space. Although its rendering speed is very fast, it takes long pre-processing time to make the data structure to leap the space. In this paper we propose the look-ahead sampling algorithm to double the leaping distance comparing with previous approaches. This algorithm reduces the preprocessing time to make the distance map without significant changes of rendering time. Also, it accelerates the rendering time.

Pedestrian Detection using RGB-D Information and Distance Transform (RGB-D 정보 및 거리변환을 이용한 보행자 검출)

  • Lee, Ho-Hun;Lee, Dae-Jong;Chun, Myung-Geun
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.1
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    • pp.66-71
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    • 2016
  • According to the development of depth sensing devices and depth estimation technology, depth information becomes more important for object detection in computer vision. In terms of recognition rate, pedestrian detection methods have been improved more accurately. However, the methods makes slower detection time. So, many researches have overcome this problem by using GPU. Here, we propose a real-time pedestrian detection algorithm that does not rely on GPU. First, the depth-weighted distance map is used for detecting expected human regions. Next, human detection is performed on the regions. The performance for the proposed approach is evaluated and compared with the previous methods. We show that proposed method can detect human about 7 times faster than conventional ones.

Face Tracking Using Skin-Color and Robust Hausdorff Distance in Video Sequences

  • Park, Jungho;Park, Changwoo;Park, Minyong
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.540-543
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    • 1999
  • We propose a face tracking algorithm using skin-color based segmentation and a robust Hausdorff distance. First, we present L*a*b* color model and face segmentation algorithm. A face is segmented from the first frame of input video sequences using skin-color map. Then, we obtain an initial face model with Laplacian operator. For tracking, a robust Hausdorff distance is computed and the best possible displacement t. is selected. Finally, the previous face model is updated using the displacement t. It is robust to some noises and outliers. We provide an example to illustrate the proposed tracking algorithm in video sequences obtained from CCD camera.

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A Study on Determinants of Commercial Land Values in Gwangju City (광주시 상업지 지가의 형성요인에 관한 연구)

  • Lee, Hyun-Wook
    • Journal of the Korean association of regional geographers
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    • v.2 no.2
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    • pp.159-171
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    • 1996
  • The aim of this study is which factors affect the commercial land values and how they act upon them through distribution of commercial land values by multiple regression analysis in Gwangju city. The major findings of this study are as follows: (1) The changes of commercial land values distribution in $1989{\sim}1996$, We see that the commercial area of higher land values extends following the main arterial road. This is related to urbanization in urban fringe while the decline of commercial land values occurs in city center with long history of commercial region. This is due to unsuitableness in rapid changes of commercial environment because of fragmented lots, old buildings. traffic congestion etc. (2) The regions where commercial land values greatly rose are the west in constructed the new planning city center of Sangmu-dong. and the south west in which is related to the extension of high density apartment and the location of big discount stores. (3) Through the changes in commercial land values distribution map. and road map, topographical map, we know that commercial land values is related to various factors; namely, distance from CBD, convenient traffic, reputation of commercial district, condition of a road, size of supplementary, a degree of commercial land use etc. (4) From the above related factor, six variables are extracted by operational definition. That is the spatial distance from the city center, the walking distance to a stopping place, the road width, the amount of bus traffic, the amount of pedestrian, the number of the shop. (5) Data of seven variables are collected on the highest values point of each Dong. We applicate multiple regression analysis with commercial land values as a dependent variable, extracted six variables as independent variables. (6) As a result of multiple regression on the determinants of commercial land values, the variables which is greatly related to commercial land values are the amount of pedestrain, the spatial distance from city center. We identify that two variables explain variance of the commercial land values by 65%. (7) In order to make clear about not explained 35%. we carry out analysis of residual. In consequence, we see small estimate in downtown area and large estimate in urban fringe. This feature is due to simple core structure of Gwangju city and limits of this regression model.

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A Schematic Map Generation System Using Centroidal Voronoi Tessellation and Icon-Label Replacement Algorithm (중심 보로노이 조각화와 아이콘 및 레이블 배치 알고리즘을 이용한 도식화된 지도 생성 시스템)

  • Ryu Dong-Sung;Uh Yoon;Park Dong-Gyu
    • Journal of Korea Multimedia Society
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    • v.9 no.2
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    • pp.139-150
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    • 2006
  • A schematic map is a special purpose map which is generated to recognize it's objects easily and conveniently via simplifying and highlighting logical geometric information of a map. To manufacture the schematic map with road, label and icon, we must generate simplified route map and replace many geometric objects. Performing a give task, however, there are an amount of overlap areas between geometric objects whenever we process the replacement of geometry objects. Therefore we need replacing geometric objects without overlap. But this work requires much computational resources, because of the high complexity of the original geometry map. We propose the schematic map generation system whose map consists of icons and label. The proposed system has following steps: 1) eliminating kinks that are least relevant to the shape of polygonal curve using DCE(Discrete Curve Evolution) method. 2) making an evenly distributed route using CVT(Centroidal Voronoi Tessellation) and Grid snapping method. Therefore we can keep the structural information of the route map from CVT method. 3) replacing an icon and label information with collision avoidance algorithm. As a result, we can replace the vertices with a uniform distance and guarantee the available spaces for the replacement of icons and labels. We can also minimize the overlap between icons and labels and obtain more schematized map.

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Provenance Study of 99MAP-P63 Core Sediments in the East China Sea (동중국해 99MAP-P63 코어 퇴적물의 기원지 연구)

  • Choi, Jae Yeong;Koo, Hyo Jin;Cho, Hyen Goo
    • Journal of the Mineralogical Society of Korea
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    • v.31 no.4
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    • pp.257-266
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    • 2018
  • East China Sea (ECS) is known to be supplied with large amounts of sediments form Huanghe, Changjiang and various rivers in Korea. Many studies have been conducted to identify the effects of rivers and deposition process of ECS, but no consensus has been reached. In this study, clay minerals, rare earth elements (REEs) and grain size were analyzed to study the provenance and sedimentation environment of core 99MAP-P63 in ECS. Clay mineral contents of 99MAP-P63 are abundant in order of illite, chlorite, kaolinite, and smectite. The provenance of 99MAP-P63 sediments using clay minerals is interpreted as the Changjiang regardless of depth. As a result of REEs analysis, 99MAP-P63 sediments are very similar to Chinese rivers sediments. Therefore, the provenance of 99MAP-P63 is Changjiang, and the influence of Korean river seems to be insignificant. 99MAP-P63 sediments are generally classified as sandy silt, but the top of the core is divided into sand with a sand contents of 85 %. Compared with surrounding cores, sandy silt sediments arecorresponded to the low stand stage when sea-level was low, and the sediments were thought to have been supplied directly through the paleo-Changjiang. Sandy sediments in uppermost of core are corresponded to transgressive stage. Although distance from estuary was increased due to sea-level rise, it was possible to supply coarse sediments due to high bottom stress, and the paleo-Changjiang sediments deposited in study area were re-deposited.

Dense-Depth Map Estimation with LiDAR Depth Map and Optical Images based on Self-Organizing Map (라이다 깊이 맵과 이미지를 사용한 자기 조직화 지도 기반의 고밀도 깊이 맵 생성 방법)

  • Choi, Hansol;Lee, Jongseok;Sim, Donggyu
    • Journal of Broadcast Engineering
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    • v.26 no.3
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    • pp.283-295
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    • 2021
  • This paper proposes a method for generating dense depth map using information of color images and depth map generated based on lidar based on self-organizing map. The proposed depth map upsampling method consists of an initial depth prediction step for an area that has not been acquired from LiDAR and an initial depth filtering step. In the initial depth prediction step, stereo matching is performed on two color images to predict an initial depth value. In the depth map filtering step, in order to reduce the error of the predicted initial depth value, a self-organizing map technique is performed on the predicted depth pixel by using the measured depth pixel around the predicted depth pixel. In the process of self-organization map, a weight is determined according to a difference between a distance between a predicted depth pixel and an measured depth pixel and a color value corresponding to each pixel. In this paper, we compared the proposed method with the bilateral filter and k-nearest neighbor widely used as a depth map upsampling method for performance comparison. Compared to the bilateral filter and the k-nearest neighbor, the proposed method reduced by about 6.4% and 8.6% in terms of MAE, and about 10.8% and 14.3% in terms of RMSE.