The research on recognition and extraction of river feature in IKNOS based on frequency domain

Ke Wang; Xuezhi Feng; Pengfeng Xiao; Guoping Wu

doi:10.1117/12.832838

30 October 2009 The research on recognition and extraction of river feature in IKNOS based on frequency domain

Ke Wang, Xuezhi Feng, Pengfeng Xiao, Guoping Wu

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749533 (2009) https://doi.org/10.1117/12.832838
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Because the resolution of remotely sensed imagery becomes higher, new methods are introduced to process the high-resolution remotely sensed imagery. The algorithms introduced in this paper to recognize and extract the river features based on the frequency domain. This paper uses the Gabor filter in frequency domain to enhance the texture of river and remove the noise from remotely sensed imagery. And then according to the theory of phase congruency, this paper retrieves the PC of every point such that features such as edge of river, building and farmland in the remotely sensed imagery. Lastly, the skeletal methodology is introduced to determine the edge of river within the help of the trend of river.

Citation Download Citation

Ke Wang, Xuezhi Feng, Pengfeng Xiao, and Guoping Wu "The research on recognition and extraction of river feature in IKNOS based on frequency domain", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749533 (30 October 2009); https://doi.org/10.1117/12.832838

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available