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
[31]   Attention-Guided Multi-Scale Segmentation Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery [J].
Li, Kun ;
Hu, Xiangyun ;
Jiang, Huiwei ;
Shu, Zhen ;
Zhang, Mi .
REMOTE SENSING, 2020, 12 (05)
[32]   Urban road network extraction from high-resolution multispectral data [J].
Shackelford, AK ;
Davis, CH .
2ND GRSS/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS, 2003, :142-146
[33]   Road Network Extraction Methods from Remote Sensing Images: A Review Paper [J].
Patel, Miral J. ;
Kothari, Ashish .
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, 2022, 13 (02) :207-221
[34]   New applications for mathematical morphology in urban feature extraction from high-resolution satellite imagery [J].
Jin, XY ;
Davis, CH .
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVII, PTS 1AND 2, 2004, 5558 :137-148
[35]   AUTOMATED EXTRACTION OF PLANTATIONS FROM IKONOS SATELLITE IMAGERY USING A LEVEL SET BASED SEGMENTATION METHOD [J].
Vogt, K. ;
Scheuermann, B. ;
Becker, C. ;
Bueschenfeld, T. ;
Rosenhahn, B. ;
Ostermann, J. .
100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 1, 2010, 38 :275-280
[36]   MEASURING PHENOLOGICAL VARIABILITY FROM SATELLITE IMAGERY [J].
REED, BC ;
BROWN, JF ;
VANDERZEE, D ;
LOVELAND, TR ;
MERCHANT, JW ;
OHLEN, DO .
JOURNAL OF VEGETATION SCIENCE, 1994, 5 (05) :703-714
[37]   Estimating road vehicle speed from high-resolution satellite imagery for environmental applications: A case study of Barcelona [J].
Sheehan, Annalisa ;
Beddows, Andrew ;
Gulliver, John ;
Green, David C. ;
Beevers, Sean .
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2025, 37
[38]   SWARM BASED URBAN ROAD MAP UPDATING USING HIGH RESOLUTION SATELLITE IMAGERY [J].
Samadzadegan, F. ;
Zarrinpanjeh, N. ;
Schenk, T. .
2010 CANADIAN GEOMATICS CONFERENCE AND SYMPOSIUM OF COMMISSION I, ISPRS CONVERGENCE IN GEOMATICS - SHAPING CANADA'S COMPETITIVE LANDSCAPE, 2010, 38
[39]   A method aimed at automatic landslide extraction based on background values of satellite imagery [J].
Yang, Shuwen ;
Li, Yikun ;
Feng, Guangsheng ;
Zhang, Lifeng .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (06) :2247-2266
[40]   Road Network Extraction from SAR Images with the Support of Angular Texture Signature and POIs [J].
Sun, Na ;
Feng, Yongjiu ;
Tong, Xiaohua ;
Lei, Zhenkun ;
Chen, Shurui ;
Wang, Chao ;
Xu, Xiong ;
Jin, Yanmin .
REMOTE SENSING, 2022, 14 (19)