Optimal Bands selection for Soil Classification and Moisture Mapping: Study of feature selection algorithms with application to soil classification and estimation of soil moisture - Softcover

KANDASAMY, Sivasathivel; A. Minghelli-Roman, Audrey

 
9783843354943: Optimal Bands selection for Soil Classification and Moisture Mapping: Study of feature selection algorithms with application to soil classification and estimation of soil moisture
Softcover
ISBN 10: 3843354944 ISBN 13: 9783843354943
Verlag: LAP LAMBERT Academic Publishing, 2010

Inhaltsangabe

Study of soils and their moisture content is one such area where Remote Sensing has wide applications. However, study of soils was not attractive until the advent of Hyper-spectral/Multi- spectral Imaging by satellite sensors, which provides reflectance information across the different contiguous spectral bands. The large amount of information in these bands served as features in the classification of soils. A spectral library of the different type of soils at different moisture levels serves as a reference for the purpose. However, a satellite sensor is designed to meet multiple criteria, which restricts the number of spectral bands that can be used and their resolution. Moreover, not all features contribute to classification. Hence, it becomes mandatory the optimal combination of the spectral bands is selected for a satisfactory classification of soils and the estimation of their moisture content. This work compares the performance of a hybrid algorithm, made by combining two sub-optimal methods, with the performances of the other classical algorithms for feature selection.

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Über die Autorinnen und Autoren

Sivasathivel KANDASAMY : Currently pursuing his PhD in the inversion of Radiative Transfer Model Inversion for vegetation characterization at INRA, Avignon, France. Audrey A. Minghelli-Roman, PhD.: Hyperspectral images for remote sensing applications, Assistant Professor, University of Burgundy and University of Toulon, France.

Sivasathivel KANDASAMY : Currently pursuing his PhD in the inversion of Radiative Transfer Model Inversion for vegetation characterization at INRA, Avignon, France. Audrey A. Minghelli-Roman, PhD.: Hyperspectral images for remote sensing applications, Assistant Professor, University of Burgundy and University of Toulon, France.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
3843354944
ISBN 13 
9783843354943
Einband
Taschenbuch
Anzahl der Seiten
80
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

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