Tree extraction from a Very High Resolution Aerial Image by information fusion

被引:0
|
作者
Wei, Feiming [1 ]
Tien, David [1 ]
Xiao, Yi [1 ]
Feng, Ziqiang [1 ]
Gu, Xingfa [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 610054, Peoples R China
来源
2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 3 | 2008年
关键词
tree detection; information fusion; SVM; VHR Aerial Image;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Accurate location of tree regions is valuable for a wide range of applications related to urban development planning and land management. The present study explores the benefits of combining colour and texture information in a true colour aerial image for tree detection. A high level fusion scheme was employed for the inversion of a canopy reflectance model using Very High Resolution (VHR.) Aerial Images. Being completely automated and image-based and independent on extensive and impractical surface measurements, the retrieval scheme has potential for operational use and can quite easily be implemented for other regions. More validation studies are needed to evaluate the usefulness and limitations of the approach for other environments and species compositions.
引用
收藏
页码:120 / 125
页数:6
相关论文
共 50 条
  • [31] AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY
    Wang, Yandong
    XXIII ISPRS CONGRESS, COMMISSION III, 2016, 41 (B3): : 419 - 423
  • [32] Geographic information system data for supporting feature extraction from high-resolution aerial and satellite images
    Guienko, G
    Doytsher, Y
    JOURNAL OF SURVEYING ENGINEERING, 2003, 129 (04) : 158 - 164
  • [33] Fusion of very high-resolution UAV images with criteria-based image fusion algorithm
    Yilmaz, Volkan
    Gungor, Oguz
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (01) : 1 - 16
  • [34] Information extraction from high-resolution SAR image with object-oriented method
    Zhu, Junjie
    Fan, Xiangtao
    Guo, Huadong
    Wang, Changlin
    Tan, Jian
    Du, Xiaoping
    SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: DATA PROCESSING AND APPLICATIONS, 2010, 7841
  • [35] Application of Markov chain to edge information extraction from high resolution remote sensing image
    Huang, Liang
    Fang, Yuanmin
    Zuo, Xiaoqing
    Lu, Shuigu
    Electronic Journal of Geotechnical Engineering, 2013, 18 O : 3237 - 3245
  • [36] Fusion of very high-resolution UAV images with criteria-based image fusion algorithm
    Volkan Yilmaz
    Oguz Gungor
    Arabian Journal of Geosciences, 2016, 9
  • [37] Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images
    Sun, Yanbiao
    Zhang, Fan
    Gao, Yunlong
    Huang, Xianfeng
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 5 (08)
  • [38] Comparing color and textural information in very high resolution satellite image classification
    Vansteenkiste, E
    Schoutteet, A
    Gautama, S
    Philips, W
    ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 3351 - 3354
  • [39] Information extraction from high resolution satellite images
    Yang, Haiping
    Luo, Jiancheng
    Shen, Zhanfeng
    Xia, Liegang
    MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V, 2014, 9263
  • [40] Detection of forest canopy gaps from very high resolution aerial images
    Nyamgeroh, Beryl B.
    Groen, Thomas A.
    Weir, Michael J. C.
    Dimov, Petar
    Zlatanov, Tzvetan
    ECOLOGICAL INDICATORS, 2018, 95 : 629 - 636