Quantitative Retrieval of Organic Soil Properties from Visible Near-Infrared Shortwave Infrared (Vis-NIR-SWIR) Spectroscopy Using Fractal-Based Feature Extraction.

Quantitative Retrieval of Organic Soil Properties from Visible Near-Infrared Shortwave Infrared (Vis-NIR-SWIR) Spectroscopy Using Fractal-Based Feature Extraction.

Visible and near-infrared diffuse reflectance spectroscopy has been demonstrated to be a fast and cheap tool for estimating a large number of chemical and physical soil properties, and effective features extracted from spectra are crucial to correlating with these properties. We adopt a novel method...

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Bibliographic Details
Main Authors: Liu, Lanfa, Buchroithner, Manfred, Ji, Min, Dong, Yunyun, Zhang, Rongchung
Other Authors: Molecular Diversity Preservation International (MDPI),
Format: Article
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2017
Subjects:
Fraktale Dimension
Merkmalsextraktion
gradientenverstärkendes Regressionsmodell
LUCAS
Bodenspektroskopie
TU Dresden
Publikationsfonds
fractal dimension
feature extraction
gradient-boosting regression model
soil spectroscopy
Publishing Fund
ddc:620
rvk:ZI 0001
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-220555
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-220555
http://www.qucosa.de/fileadmin/data/qucosa/documents/22055/remotesensing-08-01035.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-220555
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-220555
http://www.qucosa.de/fileadmin/data/qucosa/documents/22055/remotesensing-08-01035.pdf

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