Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

Author: Doktor Daniel   Lausch Angela   Spengler Daniel   Thurner Martin  

Publisher: MDPI

E-ISSN: 2072-4292|6|12|12247-12274

ISSN: 2072-4292

Source: Remote Sensing, Vol.6, Iss.12, 2014-12, pp. : 12247-12274

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract