Algorithm for relative radiometric consistency process of remote sensing images based on object-oriented smoothing and contourlet transforms

Wenzhuo Li; Kaimin Sun; Hongya Zhang

doi:10.1117/1.JRS.8.083607

25 June 2014 Algorithm for relative radiometric consistency process of remote sensing images based on object-oriented smoothing and contourlet transforms

Wenzhuo Li, Kaimin Sun, Hongya Zhang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083607 (June 2014). https://doi.org/10.1117/1.JRS.8.083607

Abstract

Traditional relative radiometric normalization methods generally depend on global statistical linear parameters, do not consider two-dimensional radiometric distribution, and do not eliminate foreground objects in an image. Thus, we present a method for relative radiometric consistency process based on object-oriented smoothing and contourlet transforms. Object-level smoothing is applied to both the reference image and the image to be normalized so as to reduce the influence of foreground objects on background radiation extraction. Then, high-frequency and low-frequency sections of an image are separated by contourlet transforms to preserve high-frequency texture information of the image to be normalized, with low-pass filtering applied to the low-frequency sections to gather the background radiation difference. Finally, contourlet reverse transforms are used to reconstruct the radiometrically normalized images. Test results show that the proposed method is effective for radiometric normalization of images with both large-scale and small-scale radiometric characteristics. The proposed method can not only normalize linear and nonlinear radiation differences at the same time, but also maximally preserve image texture information. It can improve the visual effects of normalized images and increase change detection accuracy.

Citation Download Citation

Wenzhuo Li, Kaimin Sun, and Hongya Zhang "Algorithm for relative radiometric consistency process of remote sensing images based on object-oriented smoothing and contourlet transforms," Journal of Applied Remote Sensing 8(1), 083607 (25 June 2014). https://doi.org/10.1117/1.JRS.8.083607

Published: 25 June 2014

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