Research Papers

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

[+] Author Affiliations
Wenzhuo Li

Wuhan University, School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan, 430079 China

Kaimin Sun

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan, 430079 China

Hongya Zhang

Wuhan University, School of Remote Sensing and Information Engineering, 129 Luoyu Road, Wuhan, 430079 China

J. Appl. Remote Sens. 8(1), 083607 (Jun 25, 2014). doi:10.1117/1.JRS.8.083607
History: Received March 25, 2014; Revised May 26, 2014; Accepted May 29, 2014
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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.

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© 2014 Society of Photo-Optical Instrumentation Engineers

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", J. Appl. Remote Sens. 8(1), 083607 (Jun 25, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083607


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