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.
Highlights
Remote sensing (RS) is developing toward high spatial resolution, high time resolution, and high spectral resolution
Boresight error consists of yaw error, pitch error, and roll error
In order to evaluate the performance of the proposed method, we tested our method with real flight data
Summary
Remote sensing (RS) is developing toward high spatial resolution, high time resolution, and high spectral resolution. Multispectral images of line scanners are the main type of data acquired by RS sensors in Earth observation. Platforms of aerial applications suffer more effects such as pitch, yaw, and roll. Boresight error consists of yaw error, pitch error, and roll error. Roll error will shift the whole line data either to the left or the right. Yaw error may cause the whole line data to rotate along the flight direction. In reality the boresight error varies from time to time caused by air turbulence, wind, and platform vibration. These irregular effects can bring a problem for airborne multispectral line scanners: raw RS multispectral bands may be not innately registered. Many scholars have been investigating to solve the band-to-band registration problem
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