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기계학습을 활용한 지도 일반화 개선 방안 연구 : 건물과 도로객체의 선택적 삭제를 중심으로

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논문상세정보
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' 기계학습을 활용한 지도 일반화 개선 방안 연구 : 건물과 도로객체의 선택적 삭제를 중심으로' 의 주제별 논문영향력
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논문영향력 요약
주제
  • 토목 공학
  • digital map
  • machine learning
  • map generalization
  • multi-scale database
  • updating maps
  • 기계학습
  • 다축척 데이터베이스
  • 수치지형도
  • 지도 갱신
  • 지도 일반화
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,324 0

0.0%

' 기계학습을 활용한 지도 일반화 개선 방안 연구 : 건물과 도로객체의 선택적 삭제를 중심으로' 의 참고문헌

  • 허용, 유기윤, 김정옥.이종의 공간 데이터 셋에서 매칭 객체 판별을 위한 임계값 산출
    김지영 한국측량학회지, 31(1), 23-28 [2013]
  • 지도학원론
    한균형 민음사 [1996]
  • 지도 일반화를 위한 위상적 일관성 유지
    이기준 이성희 최신영 한국정보과학회 학술발표논문집. 158-160 [1998]
  • 수치지형도 일반화를 위한 도로 네트워크 데이터의 선택 기법 연구
    박우진 유기윤 이영민 한국측량학회지, 31(3), 229-238 [2013]
  • 수치지도에서 도로 중심선 생성과 보정 기법
    박환철 부산대학교 대학원 석사학위논문 [2000]
  • 수치지도 일반화에 있어서 단순화에 관한 연구
    최병길 한국측량학회지, 19(2), 199-208 [2001]
  • 수치지도 건물데이터의 매칭 기반 갱신 및 이력 데이터 생성
    박슬아 박우진 유기윤 한국측량학회지, 32(4-1), 311-318 [2014]
  • 다축척 수치지도의 도로 및 건물정보 일괄갱신 연구
    박경식 한국측량학회지, 29(1), 21-28 [2011]
  • 다다 사토시.처음 배우는 인공지능
    한빛미디어 [2017]
  • 규칙기반 모델링에 의한 지도요소 일반화
    김남신 한국학술정보 [2006]
  • 국토지리정보원
    지도 축소 편집 자동화 시스템 개발 [2003]
  • 국토지리정보원
    지도 축소 편집 자동화 시스템 개발 [2004]
  • 국토지리정보원
    지도 축소 편집 자동화 시스템 개발 [2006]
  • 국토지리정보원
    국가기본도 선진화 방안 연구 [2012]
  • 국토지리정보원
    최신 기술을 이용한 지도 제작 체계 개선 연구 [2014]
  • 건설기술연구원
    2018년 건설공사 표준품셈 [2018]
  • 「Towards better exploitingConvolutional neural networks for remote sensing sceneClassification」
    61 , 539-556 [2017]
  • Utilization of optical remote sensing data and GIS tools for regional landslide hazard analysis using an artificial neural network model
    14 ( 6 ) , 143-151 [2007]
  • Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable .
    9 ( 1 ) , 487 . [2008]
  • Use of artificial neural networks for selective omission in updating road networks
    51 ( 1 ) , 38-51 [2014]
  • Topographic map generalization : association of road elimination with thematic attributes
    39 ( 2 ) , 153-166 [2002]
  • The principles of selection
    3 ( 1 ) , 10-16 . [1966]
  • The effect of acquisition error and level of detail on the accuracy of spatial analyses
    45 ( 2 ) , 156-176 [2018]
  • The automatic generalisation of building polygons with arcGIS standard tools based on the 1 : 50,000 Swiss National Map Series
    [2015]
  • Support-vector networks
    20 ( 3 ) , 273-297 . [1995]
  • Strategies for automated generalization
    [1996]
  • Specifying map requirements for automated generalization of topographic data
    46 ( 3 ) , 214-227 [2009]
  • Some Studies in Machine Learning Using the Game ofCheckers
    3 ( 3 ) , 210-229 [1959]
  • Simultaneous extraction of roads and buildings in remote sensing imagery withConvolutional neural networks
    130 , 139-149 [2017]
  • Selective omission of road features based on mesh density for automatic map generalization
    23 ( 8 ) , 1013-1032 [2009]
  • Scaling of geographic space as a universal rule for map generalization
    103 ( 4 ) , 844-855 . [2013]
  • Rules for the robot draughtsmen
    42 ( 1 ) , 50-51 . [1969]
  • Reinforcement learning : An introduction
    pp . 53-61 [2018]
  • Recognizing building groups for generalization : AComparative study
    45 ( 3 ) , 187-204 [2018]
  • Recognition of buildingClusters for generalization
    Vol . 1 , pp . 185-198 [1996]
  • Random search for hyper-parameter optimization
    13 ( 1 ) , 281-305 [2012]
  • Quantifying theCompleteness of andCorrespondence between two historical maps : aCase study from nineteenth-century Palestine
    43 ( 2 ) , 154-175 . [2016]
  • Polygonal approximation ofContours based on the turning angle function
    17 ( 2 ) , 023016. https : //doi.org/10.1117/1.2920413 [2008]
  • Planimetric features generalization for the production of small-scale map by using base maps and the existing algorithms .
    40 ( 2 ) , 197-201 [2014]
  • Parameter-free cluster detection in spatial databases and its application to typification
    33 ( B4/1 ; PART 4 ) , 75-83 [2000]
  • Optimizing curve segmentation in computer graphics
    [1974]
  • On the spatial distribution of buildings for map generalization
    45 ( 6 ) , 539-555 [2018]
  • Neural-network-based cellular automata for simulating multiple land use changes using GIS
    16 ( 4 ) , 323-343 [2002]
  • Methods and implementations of road-network matching , Doctoral dissertation , Technische Universitat Munchen ]
    [2009]
  • Map generalization in the context of digital systems
    22 ( 4 ) , 259-263 [1995]
  • Map Generalization과 MapGene
    이민파 2001년 한국지도학회 학술발표회, 74-81 [2001]
  • Machine learning techniques for determining parameters of cartographic generalisation algorithms .
    33 , 718-725 [2000]
  • Machine learning techniques for binary classification of microarray data with correlation-based gene selection
    [2016]
  • MNIST handwritten digit database
    [2010]
  • Linear-time sleeve-fitting polyline simplification algorithms . In Proceedings of AutoCarto
    13 , ( pp . 214-223 [1997]
  • Line Generalisation by Repeated Elimination of Points
    30 ( 1 ) , 46-51 . [1993]
  • Knowledge acquisition for generalization rules
    27 ( 1 ) , 41-50 [2000]
  • J. C. , Lagrange , J. P. and Weibel , R . ( Eds. )GIS and generalization : Methodology and practice
    [1995]
  • Improving settlement selection for small-scale maps using data enrichment and machine learning .
    45 ( 2 ) , 111-127 . [2018]
  • How to merge optimization and agent-based techniques in a single generalization model
    [2006]
  • High quality building generalization by extending the morphological operators
    pp . 1-12 [2008]
  • Hierarchical methods of line simplification .
    18 ( 2 ) , 125-131 . [1991]
  • GeoComputational modelling ? techniques and applications : prologue . In GeoComputational Modelling
    pp . 1-12 [2001]
  • Generalization-oriented road line classification by means of an artificial neural network
    12 ( 3 ) , 289-312 [2008]
  • Generalisation of geographic information : cartographic modelling and applications
    [2011]
  • Generalisation in practice within national mapping agencies . In Abstracting geographic information in a data rich world
    pp . 329-391 [2014]
  • GIS Database 구축을 위한 지형요소의 자동화
    김남신 이민부 한균형 대한지리학회지, 36(2), 81-92 [2001]
  • Fully automated generalization of a 1 : 50k map from 1 : 10k data
    41 ( 1 ) , 1-13 . [2014]
  • From phenomena to essence : envisioning the nature of digital map generalisation
    32 ( 1 ) , 45-47 [1995]
  • Digital map generalization at the age of enlightenment : a review of the first forty years
    44 ( 1 ) , 80-93 [2007]
  • Development and evaluation of multiple objective decision making methods for watershed management planning
    38 ( 2 ) , 517-529 [2002]
  • Data enrichment for adaptive generalisation . In ICA workshop on Generalisation and Multiple representation
    pp . 20-21 [2004]
  • Conflict reduction in map generalization using iterative improvement
    2 ( 4 ) , 383-407 [1998]
  • Conceptual frameworks for geographical knowledge . In Map Generalization : Making Decisions for Knowledge Representation
    pp . 21-39 [1991]
  • Computational perspectives on map generalization
    2 ( 4 ) , 307-314 [1998]
  • Comparative study of binary classification methods to analyze a massive dataset on virtual machine
    112 , 1863-1870 [2017]
  • Combining landslide susceptibility maps obtained from frequency ratio , logistic regression , and artificial neural network models using ASTER images and GIS
    124 , 12-23 [2012]
  • Centrality-based hierarchy for street network generalization in multi-resolution maps
    32 ( 12 ) , 1352-1366 . [2017]
  • C4.5 : Programs for Machine Learning
    [1993]
  • Automatic generalization of roads and buildings
    50 ( 2 ) , 1-7 . [2004]
  • Automated building generalization based on urban morphology and Gestalt theory
    18 ( 5 ) , 513-534 [2004]
  • Artificial neural networks : fundamentals , computing , design , and application
    43 ( 1 ) , 3-31 . [2000]
  • Application of the radical law in generalization of national hydrography data for multiscale mapping
    [2010]
  • An introduction to kernel and nearest-neighbor nonparametric regression
    46 ( 3 ) , 175-185 . [1992]
  • An integrated framework for linear pattern extraction in the building group generalization process
    34 ( 9 ) , 1000-1021 [2019]
  • An integrated approach to the generalization of geological maps
    39 ( 2 ) , 137-152 [2002]
  • An attempt at objective generalization
    10 [1966]
  • An artificial neural network model for flood simulation using GIS : Johor River Basin , Malaysia
    67 ( 1 ) , 251-264 [2012]
  • An agent-based framework for polygonal subdivision generalisation . In Advances in Spatial Data Handling ( pp . 121-135 )
    [2002]
  • Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature
    10 ( 2 ) , 112-122 [1973]
  • Algebraic models for the aggregation of area features based upon morphological operators
    11 ( 3 ) , 233-246 [1997]
  • Algebraic models for collapse operation in digital map generalization using morphological operators
    2 ( 4 ) , 359-382 [1998]
  • Acquisition of procedural cartographic knowledge by reverse engineering
    22 ( 3 ) , 232-241 . [1995]
  • A weight-based map-matching algorithm for vehicle navigation in complex urban networks
    20 ( 6 ) , 573-590 [2016]
  • A rule for describing line feature geometry .
    [1991]
  • A multi-scale residential areas matching method using relevance vector machine and active learning
    6 ( 3 ) , 70 . [2017]
  • A comparative study of various properties to measure the road hierarchy in road networksIn Spatial Data Handling in Big Data Era
    pp . 157-166 [2017]
  • A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses
    34 ( 3 ) , 216-235 . [2010]
  • 2014 ) . A big data urban growth simulation at a national scale : configuring the GIS and neural network based land transformation model to run in a high performance computing (
    & Software ,