• Title/Summary/Keyword: Digital mapping

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Development and Comparative Analysis of Mapping Quality Prediction Technology Using Orientation Parameters Processed in UAV Software (무인기 소프트웨어에서 처리된 표정요소를 이용한 도화품질 예측기술 개발 및 비교분석)

  • Lim, Pyung-Chae;Son, Jonghwan;Kim, Taejung
    • Korean Journal of Remote Sensing
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    • v.35 no.6_1
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    • pp.895-905
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    • 2019
  • Commercial Unmanned Aerial Vehicle (UAV) image processing software products currently used in the industry provides camera calibration information and block bundle adjustment accuracy. However, they provide mapping accuracy achievable out of input UAV images. In this paper, the quality of mapping is calculated by using orientation parameters from UAV image processing software. We apply the orientation parameters to the digital photogrammetric workstation (DPW) for verifying the reliability of the mapping quality calculated. The quality of mapping accuracy was defined as three types of accuracy: Y-parallax, relative model and absolute model accuracy. The Y-parallax is an accuracy capable of determining stereo viewing between stereo pairs. The Relative model accuracy is the relative bundle adjustment accuracy between stereo pairs on the model coordinates system. The absolute model accuracy is the bundle adjustment accuracy on the absolute coordinate system. For the experimental data, we used 723 images of GSD 5 cm obtained from the rotary wing UAV over an urban area and analyzed the accuracy of mapping quality. The quality of the relative model accuracy predicted by the proposed technique and the maximum error observed from the DPW showed precise results with less than 0.11 m. Similarly, the maximum error of the absolute model accuracy predicted by the proposed technique was less than 0.16 m.

Development of New Photogrammetric Software for High Quality Geo-Products and Its Performance Assessment

  • Jeong, Jae-Hoon;Lee, Tae-Yoon;Rhee, Soo-Ahm;Kim, Hyeon;Kim, Tae-Jung
    • Korean Journal of Remote Sensing
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    • v.28 no.3
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    • pp.319-327
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    • 2012
  • In this paper, we introduce a newly developed photogrammetric software for automatic generation of high quality geo-products and its performance assessment carried out using various satellite images. Our newly developed software provides the latest techniques of an optimized sensor modelling, ortho-image generation and automated Digital Elevation Model (DEM) generation for diverse remote sensing images. In particular, images from dual- and multi-sensor images can be integrated for 3D mapping. This can be a novel innovation toward a wider applicability of remote sensing data, since 3D mapping has been limited within only single-sensor so far. We used Kompsat-2, Ikonos, QuickBird, Spot-5 high resolution satellite images to test an accuracy of 3D points and ortho-image generated by the software. Outputs were assessed by comparing reliable reference data. From various sensor combinations 3D mapping were implemented and their accuracy was evaluated using independent check points. Model accuracy of 1~2 pixels or better was achieved regardless of sensor combination type. The high resolution ortho-image results are consistent with the reference map on a scale of 1:5,000 after being rectified by the software and an accuracy of 1~2 pixels could be achieved through quantitative assessment. The developed software offers efficient critical geo-processing modules of various remote sensing images and it is expected that the software can be widely used to meet the demand on the high-quality geo products.

A New Selected Mapping Scheme without Side Information Using Cross-Correlation (상호 상관을 이용한 부가정보가 필요 없는 Selected Mapping 수신방법 제안)

  • Lee, Jong-keun;Chang, Dae-ig
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.739-746
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    • 2017
  • Orthogonal frequency division multiplexing(OFDM) systems have many advantages. However, OFDM systems are much affected by a nonlinear distortion because those systems have a high peak to average power ratio(PAPR) value. A selected mapping technology was suggested to reduce a PAPR value. The technology does not have data loss but receivers need side information to know modified phase sequence. Therefore, side information causes decreased a transmission efficiency. In this paper, we suggest a blind SLM receiver using a cross correlation technology. This receiver does not require side information. The proposed blind SLM receiver calculates sums of cross-correlation between transmitted pilot signals multiplied by each phase sequence and received pilot signals. So, this receiver detects side information which has a maximum sum cross-correlation value. We compared our proposed SLM receiver to a conventional blind SLM receiver through bit error rate(BER) and side information error rate(SIER) performances. Simulation results show that the proposed SLM receiver has improved BER and SIER performances than the conventional SLM receiver.

New Template Based Face Recognition Using Log-polar Mapping and Affine Transformation (로그폴라 사상과 어파인 변환을 이용한 새로운 템플릿 기반 얼굴 인식)

  • Kim, Mun-Gab;Choi, Il;Chien, Sung-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.2
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    • pp.1-10
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    • 2002
  • This paper presents the new template based human face recognition methods to improve the recognition performance against scale and in-plane rotation variations of face images. To enhance the recognition performance, the templates are generated by linear or nonlinear operation on multiple images including different scales and rotations of faces. As the invariant features to allow for scale and rotation variations of face images, we adopt the affine transformation, the log-polar mapping, and the log-polar image based FFT. The proposed recognition methods are evaluated in terms of the recognition rate and the processing time. Experimental results show that the proposed template based methods lead to higher recognition rate than the single image based one. The affine transformation based face recognition method shows marginally higher recognition rate than those of the log-polar mapping based method and the log-polar image based FFT, while, in the aspect of processing time, the log-polar mapping based method is the fastest one.

Development of Safety Map Application for Local Residents (지역 주민을 위한 안전지도 애플리케이션 개발)

  • Park, Sung-Dae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.3
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    • pp.299-304
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    • 2019
  • As community revitalization among local residents is currently emphasized, village regeneration projects and village culture activation projects are being promoted in various ways based on the participation of residents. Community mapping is one of the projects in which the residents of the community propose and improve the problems of the community as subjects. This community mapping draws residents's interest in the village through the process in which residents directly map the major issues in the village and makes it possible to draw the voluntary participation of the residents in deciding village plans and policies. In this study, we used community mapping to develop a safety map application for interactive communication of local residents. The developed app enables local residents to directly upload and share information on local issues and problems. In addition, the purpose is to find ways to share and improve safety related issues and problems of the village with relevant administrative agencies using the developed app.

Hardware-Software Cosynthesis of Multitask Multicore SoC with Real-Time Constraints (실시간 제약조건을 갖는 다중태스크 다중코어 SoC의 하드웨어-소프트웨어 통합합성)

  • Lee Choon-Seung;Ha Soon-Hoi
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.9
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    • pp.592-607
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    • 2006
  • This paper proposes a technique to select processors and hardware IPs and to map the tasks into the selected processing elements, aming to achieve high performance with minimal system cost when multitask applications with real-time constraints are run on a multicore SoC. Such technique is called to 'Hardware-Software Cosynthesis Technique'. A cosynthesis technique was already presented in our early work [1] where we divide the complex cosynthesis problem into three subproblems and conquer each subproblem separately: selection of appropriate processing components, mapping and scheduling of function blocks to the selected processing component, and schedulability analysis. Despite good features, our previous technique has a serious limitation that a task monopolizes the entire system resource to get the minimum schedule length. But in general we may obtain higher performance in multitask multicore system if independent multiple tasks are running concurrently on different processor cores. In this paper, we present two mapping techniques, task mapping avoidance technique(TMA) and task mapping pinning technique(TMP), which are applicable for general cases with diverse operating policies in a multicore environment. We could obtain significant performance improvement for a multimedia real-time application, multi-channel Digital Video Recorder system and for randomly generated multitask graphs obtained from the related works.

The Development of a Machine Vision Algorithm for Automation of Pavement Crack Sealing (도로면 크랙실링 자동화를 위한 머신비전 알고리즘의 개발)

  • Yoo Hyun-Seok;Lee Jeong-Ho;Kim Young-Suk;Kim Jung-Ryeol
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.90-105
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    • 2004
  • Machines for crack sealing automation have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). Moreover, it is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose machine vision algorithms (digital image processing algorithm and path planning algorithm) for fully automated pavement crack sealing. It is anticipated that the effective use of the proposed machine vision algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms.

A Study on the Habitat Mapping of Meretrix lyrata Using Remote Sensing at Ben-tre Tidal Flat, Vietnam (원격탐사를 활용한 베트남 Ben-tre 갯벌의 Meretrix lyrata 서식지 매핑 연구)

  • Hwang, Deuk Jae;Woo, Han Jun;Koo, Bon Joo;Choi, Jong-Kuk
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.975-987
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    • 2021
  • Potential habitat mapping of Meretrix lyrata which is found in large parts of South East Asian tidal flat was carried out to find out causes of collective death. Frequency Ratio (FR) method, one of geospatialstatistical method, was employed with some benthic environmental factors; Digital elevation model (DEM) made from Landsat imagery, slope, tidal channel distance, tidal channel density, sedimentary facesfrom WorldView-02 image. Field survey was carried out to measure elevation of each station and to collect surface sediment and benthos samples. Potential habitat maps of the all clams and the juvenile clams were made and accuracy of each map showed a good performance, 76.82 % and 69.51 %. Both adult and juvenile clams prefer sand dominant tidal flat. But suitable elevation of adult clams is ranged from -0.2 to 0.2 m, and that of juvenile clams is ranged from 0 to 0.3 m. Tidal channel didn't affect the habitat of juvenile clams, but it affected the adult clams. In the furtherstudy, comparison with case of Korean tidal flat will be carried out to improve a performance of the potential habitat map. Change in the benthic echo-system caused by climate change will be predictable through potential habitat mapping of macro benthos.

Comparison of Accuracy and Characteristics of Digital Elevation Model by MMS and UAV (MMS와 UAV에 의한 수치표고모델의 정확도 및 특성 비교)

  • Park, Joon-Kyu;Um, Dae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.13-18
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    • 2019
  • The DEM(Digital Elevation Model) is a three-dimensional spatial information that stores the height of the terrain as a numerical value. This means the elevation of the terrain not including the vegetation and the artifacts. The DEM is used in various fields, such as 3D visualization of the terrain, slope, and incense analysis, and calculation of the quantity of construction work. Recently, many studies related to the construction of 3D geospatial information have been conducted, but research related to DEM generation is insufficient. Therefore, in this study, a DEM was constructed using a MMS (Mobile Mapping System), UAV image, and UAV LiDAR (Light Detection And Ranging), and the accuracy evaluation of each result was performed. As a result, the accuracy of the DEM generated by MMS and UAV LiDAR was within ± 4.1cm, and the accuracy of the DEM using the UAV image was ± 8.5cm. The characteristics of MMS, UAV image, and UAV LiDAR are presented through a comparison of data processing and results. The DEM construction using MMS and UAV can be applied to various fields, such as an analysis and visualization of the terrain, collection of basic data for construction work, and service using spatial information. Moreover, the efficiency of the related work can be improved greatly.

Characteristic Analysis and Prediction of Debris Flow-Prone Area at Daeryongsan (대룡산 토석류 특성 분석 및 위험지역 예측에 관한 연구)

  • CHOI, Young-Nam;LEE, Hyung-Ho;YOO, Nam-Jae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.48-62
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    • 2018
  • In this study, landslide of debris flow occurred at 51 sites around Daeryounsan located in between Chuncheon-si and Hongcheon-gun during July in 2013 were investigated in field and behavior characteristics of debris flow were analyzed on the basis of records of rainfall and site investigation. According to debris flow types of channelized and hill slope, location and slope angle of initiation and deposit zone, and width and depth of erosion were investigated along entire runout of debris flow. DEM(Digital Elevation Model) of Daeryounsan was constructed with digital map of 1:5,000 scale. Land slide hazard was estimated using SINMAP(Stability INdex MAPping) and the predicted results were compared with field sites where debris flow occurred. As analyzed results, for hill slope type of debris flow, predicted sites were quite comparable to actual sites. On the other hand, for channelized type of debris flow, debris flow occurrence sites were predicted by using stability index associated with topographic wetness index. As analyzed results of 4 different conditions with the parameter T/R, Hydraulic transmissivity/Effective recharge rate, proposed by NRCS (Natual Resources Conservation Service), predicted results showed more or less different actual sites and the degree of hazard tended to increase with decrease of T/R value.