Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor

Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor

Remote-sensing platforms are often comprised of a cluster of different spectral range detectors or sensors to benefit from the spectral identification capabilities of each range. Missing data from these platforms, caused by problematic weather conditions, such as clouds, sensor failure, low temporal...

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Bibliographic Details
Main Authors: Gila Notesco, Eyal Ben-Dor, Simon Adar, Yoel Shkolnisky
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Remote Sensing
Subjects:
missing data
imputation
k nearest neighbors
multisensor analysis
emissivity prediction
sensor-to-sensor (SENTOS) prediction
Online Access:http://www.mdpi.com/2072-4292/5/11/5757

Internet

http://www.mdpi.com/2072-4292/5/11/5757

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