6533b821fe1ef96bd127c124
RESEARCH PRODUCT
Optimization of image parameters using a hyperspectral library application to soil identification and moisture estimation
Pierre GoutonSivasathivel KandasamySandrine MathieuAudrey Minghelli-romanFrancois TavinFrédéric BaretLiu Weidongsubject
Identification (information)MoistureSoil waterEnvironmental scienceHyperspectral imagingFeature selectionSoil classificationSpectral bandsWater contentPhysics::GeophysicsRemote sensingdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-07-01 | 2009 IEEE International Geoscience and Remote Sensing Symposium |