Object Oriented Information Extraction from High Resolution Remote Sensing Imagery

被引：0
|
作者：
Ma, Hongbin [1 ]
Zhang, Cun [1 ]
Yang, Shengfei [1 ]
Xu, Junfang [1 ]
机构：
[1] Northeastern Univ, Coll Resource & Civil Engn, Shenyang, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
multi-scale segmentation; high-resolution; object-oriented; information extraction; eCognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the wide use of high-resolution remote sensing image, the technology of object-oriented information extraction from high resolution imagery has been developed rapidly. In this paper, mainly used eCognition software and selected image of HuShiTai in Shen Yang as study area, made use of object-oriented technology to extract features information. Finally the information result is compared with traditional schemes. The contrastive result shows that object-oriented technology can overcome the phenomenon of "salt and pepper" which happened in traditional classification, the accuracy of extraction has been greatly improved relative to traditional method and object-oriented technology provides an effective way for the utilization of high-resolution image.
引用
收藏
页码：1128 / 1132
页数：5
相关论文
共 50 条
  • [1] Object oriented information extraction of forest resources from high resolution remote sensing
    Mo, Dengkui
    Lin, Hui
    Sun, Hua
    Li, Jiping
    Xiong, Yujiu
    Liu, Tailong
    GEOINFORMATICS 2006: REMOTELY SENSED DATA AND INFORMATION, 2006, 6419
  • [2] Object-oriented information extraction and application in high-resolution remote sensing image
    Wei, WX
    Chen, XW
    Ma, AA
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 3803 - 3806
  • [3] Advances in urban information extraction from high-resolution remote sensing imagery
    Jianya GONG
    Chun LIU
    Xin HUANG
    ScienceChina(EarthSciences), 2020, 63 (04) : 463 - 475
  • [4] Advances in urban information extraction from high-resolution remote sensing imagery
    Jianya Gong
    Chun Liu
    Xin Huang
    Science China Earth Sciences, 2020, 63 : 463 - 475
  • [5] A NEW ALGORITHM FOR WATER INFORMATION EXTRACTION FROM HIGH RESOLUTION REMOTE SENSING IMAGERY
    Li, Shijin
    Wang, Shengte
    Zheng, Zhan
    Wan, Dingsheng
    Feng, Jun
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 4359 - 4363
  • [6] Advances in urban information extraction from high-resolution remote sensing imagery
    Gong, Jianya
    Liu, Chun
    Huang, Xin
    SCIENCE CHINA-EARTH SCIENCES, 2020, 63 (04) : 463 - 475
  • [7] Object-oriented coastline classification and extraction from remote sensing imagery
    Ge, Xizhi
    Sun, Xiliang
    Liu, Zhaoqin
    REMOTE SENSING OF THE ENVIRONMENT: 18TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA, 2014, 9158
  • [8] Object-oriented method of hierarchical urban building extraction from high-resolution remote-sensing imagery
    Tao, Chao
    Tan, Yihua
    Cai, Huajie
    Du, Bo
    Tian, Jinwen
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2010, 39 (01): : 39 - 45
  • [9] Information extraction from remote sensing imagery
    Huang, Xin
    Li, Jiayi
    Liao, Wenzhi
    Chanussot, Jocelyn
    Geo-Spatial Information Science, 2017, 20 (04) : 297 - 298
  • [10] Stratified and automatic information extraction from high resolution satellite imagery based on an object-oriented method
    Jiang Tao
    Fang Lei
    Ding WenWen
    SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: MODELS, ALGORITHMS, AND VIRTUAL REALITY, 2010, 7840
12345