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Sensors 2012, 12(8), 10228-10247; doi:10.3390/s120810228

Mosaicing of Hyperspectral Images: The Application of a Spectrograph Imaging Device

1,* , 2
1 DICEA—Sapienza University of Rome, via Eudossiana 18, Rome 00184, Italy 2 ISPRA—Istituto Superiore per la Protezione e la Ricerca Ambientale, via V. Brancati 48, Rome 00144, Italy
* Author to whom correspondence should be addressed.
Received: 15 June 2012 / Revised: 19 July 2012 / Accepted: 23 July 2012 / Published: 30 July 2012
(This article belongs to the Section Remote Sensors)
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Hyperspectral monitoring of large areas (more than 10 km2) can be achieved via the use of a system employing spectrometers and CMOS cameras. A robust and efficient algorithm for automatically combining multiple, overlapping images of a scene to form a single composition (i.e., for the estimation of the point-to-point mapping between views), which uses only the information contained within the images themselves is described here. The algorithm, together with the 2D fast Fourier transform, provides an estimate of the displacement between pairs of images by accounting for rotations and changes of scale. The resulting mosaic was successively georeferenced within the WGS-84 geographic coordinate system. This paper also addresses how this information can be transferred to a push broom type spectral imaging device to build the hyperspectral cube of the area prior to land classification. The performances of the algorithm were evaluated using sample images and image sequences acquired during a proximal sensing field campaign conducted in San Teodoro (Olbia-Tempio—Sardinia). The hyperspectral cube closely corresponds to the mosaic. Mapping allows for the identification of objects within the image and agrees well with ground-truth measurements.
Keywords: hyperspectral imagery; mosaicing; environmental monitoring; spectrometers; classification hyperspectral imagery; mosaicing; environmental monitoring; spectrometers; classification
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Moroni, M.; Dacquino, C.; Cenedese, A. Mosaicing of Hyperspectral Images: The Application of a Spectrograph Imaging Device. Sensors 2012, 12, 10228-10247.

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