DIFFUSE MATRIX - An Optimized Data Structure for the Storage and Processing of Hyperspectral Images
Jose M. Chaves-González, Miguel A. Vega-Rodríguez, Pablo J. Martínez-Cobo, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez
2007
Abstract
This paper proposes a new format for storing and processing hyperspectral images captured by spectrometer AVIRIS (Airborne Visible/InfraRed Imaging Spectrometer). Obtaining such images is difficult, because the sensor that takes the images is carried in an aircraft that suffers turbulences while the camera is taking photos. So, a geo-rectification process is necessary to correct the information of different bands. The format proposed in this paper, DMF (Diffuse Matrix Format), allows a more efficient storage, because a list with the original information received in the sensor is saved for each position (X,Y) of the scanned ground. The format of the list saves space and time because no redundant information is saved using it. To show the possibilities of this new format an application that makes some thresholding and filter operations has been built. This program, firstly, creates the diffuse matrix in memory from the file that stores the image information, and then, some filter operations are executed over the diffuse matrix to check it. In this way, we prove that diffuse matrix processing is fast and simple, as well as the space used in the disk for its storage is quite less than the space used by typical formats.
References
- AVIRIS, Jet Propulsion Laboratory, NASA. AVIRIS, http://aviris.jpl.nasa.gov/, 2007.
- Boardman, J.W.. Precision Geocoding of Low-Altitude AVIRIS Data: Lessons Learned in 1998. 8th Annual JPL Airborne Geoscience Workshop, Pasadena, California, USA, 1999.
- Brunn, A., Fischer, C., Dittmann, C., Richter, R.. Quality Assessment, Atmospheric and Geometric Correction of Airborne Hyperspectral HyMap Data. 3rd EARSeL Workshop on Imaging Spectroscopy, Herrsching, Germany, May 2003.
- Folk, M.. HDF as an Archive Format: Issues and Recommendations. White paper, NCSA/University of Illinois, http://hdf.ncsa.uiuc.edu/archive/ hdfasarchivefmt.htm, 1998.
- González, R.C., Woods, R.E.. Digital Image Processing. 2nd Edition, Addison-Wesley, 1992.
- HDF-EOS, NASA. HDF-EOS, http://hdfeos.gsfc.nasa.gov/hdfeos/index.cfm, 2006.
- Martínez, P.J., Hermosel, D., Green, R.O., Plaza, J., Pérez, R.M.. An Improved Data Structure for AVIRIS-Type Imaging Spectrometer Measurements. 13th JPL Airborne Earth Science Workshop, Pasadena, California, USA, May 2005.
Paper Citation
in Harvard Style
M. Chaves-González J., A. Vega-Rodríguez M., J. Martínez-Cobo P., A. Gómez-Pulido J. and M. Sánchez-Pérez J. (2007). DIFFUSE MATRIX - An Optimized Data Structure for the Storage and Processing of Hyperspectral Images . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 39-44. DOI: 10.5220/0002130800390044
in Bibtex Style
@conference{sigmap07,
author={Jose M. Chaves-González and Miguel A. Vega-Rodríguez and Pablo J. Martínez-Cobo and Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez},
title={DIFFUSE MATRIX - An Optimized Data Structure for the Storage and Processing of Hyperspectral Images},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={39-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002130800390044},
isbn={978-989-8111-13-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - DIFFUSE MATRIX - An Optimized Data Structure for the Storage and Processing of Hyperspectral Images
SN - 978-989-8111-13-5
AU - M. Chaves-González J.
AU - A. Vega-Rodríguez M.
AU - J. Martínez-Cobo P.
AU - A. Gómez-Pulido J.
AU - M. Sánchez-Pérez J.
PY - 2007
SP - 39
EP - 44
DO - 10.5220/0002130800390044