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ARS Home » Pacific West Area » Maricopa, Arizona » U.S. Arid Land Agricultural Research Center » Water Management and Conservation Research » Research » Publications at this Location » Publication #159849
Title: AUTOMATED REGISTRATION OF HYPERSPECTRAL IMAGES

Author
item ERIVES, HECTOR - NASA
item Fitzgerald, Glenn

Submitted to: International Society for Optical Engineering
Publication Type: Abstract Only
Publication Acceptance Date: 8/3/2004
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Hyperspectral images are increasingly being acquired of the Earth's surface from aerial platforms. The dozens or hundreds of bands acquired by a typical hyperspectral sensor are acquired either through a scanning process or by collecting a sequential series of images at varying wavelengths. This latter method has the advantage of acquiring coherent images of a scene at each wavelength but since it takes time to collect these images, some form of co-registration is required to build coherent image cubes. This paper discusses an application of the Phase Correlation (PC) Method to recover scaling, rotation, and translation from hyperspectral images. We show an application of this method to the registration of airborne hyperspectral imagery. This approach is well suited for remotely sensed images acquired from a platform that is moving (along and across track). The method proved to be very robust and was able to register images to within ± 1 pixel from images acquired with a Liquid Crystal Tunable Filter-based imaging system. This paper discusses results and shows examples obtained from a hyperspectral imaging system for use in precision farming research.