Computing Fractal Dimension of the WorldView-1 Panchromatic Vegetation Image
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [7]
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    The WorldView-1 satellite can provide panchromatic image with a dramatic improvement in spatial resolution, among these the feature extraction of vegetation image has an important application in identification and classification. Taking the advantage of fractal theory in image identification and combining the character of WorldView-1 panchromatic vegetation image, the fractal dimension of WorldView-1 panchromatic vegetation image is caculated by applying the Hausdorff algorithm, Box counting algorithm, Euclidean distance map algorithm and Blanket algorithm. The result indicates the Blantket algorithm was the most stable when compared with the other three algorithm and is suitable for computing the fractal dimension of the WorldView-1 panchromatic vegetation image.

    Reference
    1 Mandelbrot BB. Fractal form, chance and dimensions. An Francisco Freeman. 1977.
    2 王华,王祁,孙金玮.基于自相关函数的自然纹理图像分形维数的估计.北京航空航天大学学报,2004,30(8):718-722.
    3 Lin KH, Lam KM, Siu WC. Locating the human eye using fractald ensions. International Conferenceon Image Proce- ssing, 2001,(3):1079-1082.
    4 吴健平.分形理论在遥感中的应用.遥感技术与应用,1993,8 (12):23-27.
    5 Wong HS, Buenfeld NR. Euclidean distance mapping for computing microstructural gradients at interfaces in composite materials. Cement and Concrete Research, 2006, 36(6):1091-1097.
    6 Peleg S, Narorand J, Hartley R. Multiple resolution texture analysis and classification. IEEE Trans. PAM I, 1984,6(4): 518 -523.
    7 Krause KS. World View-1 pre and post-launch radiometric calibration and early on-orbit characterization.
    Related
    Cited by
Get Citation

邹涛,漆德宁,张冬英,罗军,周杰. WorldView-1卫星植被全色图像分形维数的计算方法.计算机系统应用,2012,21(7):222-224

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 01,2011
  • Revised:December 05,2011
Article QR Code
You are the first990602Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063