Research on the road network extraction from satellite imagery

被引:0
|
作者
Yun, Lili [1 ]
Uchimura, Keiichi [1 ]
机构
[1] Kumamoto Univ, Grad Sch Sci & Technol, Kumamoto 8608555, Japan
关键词
GIS; High-resolution satellite imagery; Road network extraction; Road tracking; Self-organizing map;
D O I
10.1093/ietfec/e91-a.1.433
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this letter, a semi-automatic method for road network extraction from high-resolution satellite images is proposed. First, we focus on detecting the seed points in candidate road regions using a method of self-organizing map (SOM). Then, an approach to road tracking is presented, searching for connected points in the direction and candidate domain of a road. A study of Geographical Information Systems (GIS) using high-resolution satellite images is presented in this letter. Experimental results verified the effectiveness and efficiency of this approach. key words: high-resolution satellite imagery, road network extraction, selforganizing map, road tracking, GIS.
引用
收藏
页码:433 / 436
页数:4
相关论文
共 50 条
  • [1] CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery
    Mei, Jie
    Li, Rou-Jing
    Gao, Wang
    Cheng, Ming-Ming
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 (30) : 8540 - 8552
  • [2] Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
    Buslaev, Alexander
    Seferbekov, Selim
    Iglovikov, Vladimir
    Shvets, Alexey
    PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2018, : 197 - 200
  • [3] Road Extraction for Emergencies from Satellite Imagery
    Barrile, Vincenzo
    Bilotta, Giuliana
    Fotia, Antonino
    Bernardo, Ernesto
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2020, PART IV, 2020, 12252 : 767 - 781
  • [4] Automatic Road Extraction From satellite imagery
    Nalini, J.
    Madduru, Dhatri
    Udham, P. K.
    Mullasseri, Sileesh
    CURRENT SCIENCE, 2022, 123 (12): : 1423 - 1423
  • [5] CEBRNet: Connectivity Enhancement and Boundary Refinement Network for Road Extraction From Satellite Imagery
    Qu, Shenming
    Zhou, Huafei
    Yang, Xinyu
    Pang, Zilong
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [6] RoadCT: A Hybrid CNN-Transformer Network for Road Extraction From Satellite Imagery
    Liu, Wei
    Gao, Shufeng
    Zhang, Chun
    Yang, Bijia
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [7] Urban road network detection from satellite imagery
    Yagoub, MM
    2ND GRSS/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS, 2003, : 288 - 293
  • [8] Fully automated road network extraction from high-resolution satellite multispectral imagery
    Shackelford, AK
    Davis, CH
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 461 - 463
  • [9] Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery
    Courtrai, Luc
    Lefevre, Sebastien
    PATTERN RECOGNITION LETTERS, 2016, 83 : 195 - 204
  • [10] Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature
    Yang, Zhigang
    Zhou, Daoxiang
    Yang, Ying
    Zhang, Jiapeng
    Chen, Zehua
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20