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Journal of Applied Remote Sensing • Open Access

Elastic registration for airborne multispectral line scanners
Author(s): Feng Li; Chuanrong Li; Lingli Tang; Yi Guo

Paper Abstract

The multispectral line scanner is one of the most popular payloads for aerial remote sensing (RS) applications. Scanners with large field of view (FOV) improve efficiency in Earth observation. Small-volume instruments with a short focal length and a large FOV, however, may bring a problem: different nonlinear warping and local transformation exist between bands. Alignment accuracy of bands is a criterion impacting product quality in RS. A band-to-band elastic image registration method is proposed for solving the problem. Rather than ignoring the intensity variation and carrying out an intensity-based registration between bands straightforwardly, we construct feature images and use them to conduct an intensity-based elastic image registration. In this method, the idea of the inverse compositional algorithm is employed and expanded when dealing with local warping, and a smoothness constraint is also added in this procedure. Experimental results show that the proposed band-to-band registration method works well both visually and quantitatively. The outstanding performance of the method also encourages potential applications for other new types of airborne multispectral imagers.

Paper Details

Date Published: 13 June 2014
PDF: 13 pages
J. Appl. Remote Sens. 8(1) 083614 doi: 10.1117/1.JRS.8.083614
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Feng Li, Academy of Opto-Electronics (China)
Chuanrong Li, Academy of Opto-Electronics (China)
Lingli Tang, Academy of Opto-Electronics (China)
Yi Guo, Commonwealth Scientific and Industrial Research Organisation (Australia)


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