Quality estimate model for multi-scale representation of linear feature based on wavelet analysis

Feng Xu; Jiqiang Niu; Chen Zeng; Yu Nong

doi:10.1117/12.815966

29 December 2008 Quality estimate model for multi-scale representation of linear feature based on wavelet analysis

Feng Xu, Jiqiang Niu, Chen Zeng, Yu Nong

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853U (2008) https://doi.org/10.1117/12.815966
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

One quality estimate model was put forward. It combined the common-point comparison with the scale of wavelet analysis. So, the study on uncertainty estimate based on single data set gained enormously advance. The result indicates that when the ratio between the number of common-points and the number of wavelet low-frequency coefficients is 1.5, the model can estimate the quality for multi-scale representation of linear feature. It provided the quality estimate model for multi-scale representation of linear feature based on wavelet analysis.

Citation Download Citation

Feng Xu, Jiqiang Niu, Chen Zeng, and Yu Nong "Quality estimate model for multi-scale representation of linear feature based on wavelet analysis", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853U (29 December 2008); https://doi.org/10.1117/12.815966

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