Noise-Sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness

Noise-Sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness

There are numerous algorithms that can be used to retrieve land surface temperature (LST) and land surface emissivity (LSE) from hyperspectral thermal infrared (HTIR) data. The algorithms are sensitive to a number of factors, where noise is difficult to handle due to its unpredictability. Although t...

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Bibliographic Details
Main Authors: Honglan Shao, Chengyu Liu, Feng Xie, Chunlai Li, Jianyu Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
hyperspectral thermal infrared
spectral smoothness
temperature-emissivity separation
sensitivity analysis
noise
Online Access:https://www.mdpi.com/2072-4292/12/14/2295

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