Authors:
Jose M. Chaves-González
;
Miguel A. Vega-Rodríguez
;
Pablo J. Martínez-Cobo
;
Juan A. Gómez-Pulido
and
Juan M. Sánchez-Pérez
Affiliation:
Univ. Extremadura, Spain
Keyword(s):
Hyperspectral data format, diffuse matrix, storage optimization, geo-rectification, AVIRIS images.
Related
Ontology
Subjects/Areas/Topics:
Multimedia
;
Multimedia Signal Processing
;
Obstacles
;
Remote Sensing
;
Sensor Networks
;
Telecommunications
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 opera
tions 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.
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