Next Article in Journal
Harvesting Energy from the Counterbalancing (Weaving) Movement in Bicycle Riding
Previous Article in Journal
A Distributed Reasoning Engine Ecosystem for Semantic Context-Management in Smart Environments
Article Menu

Export Article

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

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

DICEA—Sapienza University of Rome, via Eudossiana 18, Rome 00184, Italy
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)
View Full-Text   |   Download PDF [2572 KB, uploaded 21 June 2014]   |  


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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top