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Optimization of image parameters using a hyperspectral library application to soil identification and moisture estimation

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7 Author(s)
Kandasamy, S. ; LE2I, Univ. of Burgundy, Dijon, France ; Tavin, F. ; Minghelli-Roman, A. ; Mathieu, S.
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The growing number of sensors raises questions about the image parameters required for the application, soil identification and moisture estimation. Hyperspectral images are also known to contain highly redundant information. Hence not all the spectral bands are needed for the satisfactory classification of the soil types. Hence, the work was aimed at obtaining these optimal spectral bands for identifying the soil types and to use these spectral bands to estimate the moisture content of the soils using the method proposed by Whiting et.al.

Published in:

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009  (Volume:3 )

Date of Conference:

12-17 July 2009