Spatial scale issue in temperature and emissivity separation from thermal hyperspectral imager

Author

Yang Hang ; Huang Zhaoqiang ; Zhang Lifu ; Tong Qingxi

Author_Institution

State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China

fYear

2013

fDate

21-26 July 2013

Firstpage

485

Lastpage

488

Abstract

This paper analysis the scale issue using four scale transformation methods (center pixels method (CPM), simple average method (SAM), point spread function method (PSF), wavelet transform method (WTM)). The results show that Center pixels method is not fit for scale transformation; PSF method can keep best the spatial autocorrelation of images, and lowest standard deviation. The optimal spatial resolution for hyperspectral thermal infrared is 6.25m, using semi-variance.

Keywords

correlation theory; emissivity; geophysical techniques; hyperspectral imaging; image resolution; infrared imaging; land surface temperature; optical transfer function; remote sensing; wavelet transforms; CPM; PSF method; SAM; WTM; center pixel method; emissivity separation; ground surface temperature; point spread function method; scale transformation method; semi-variance; simple average method; spatial image autocorrelation; spatial resolution; spatial scale; standard deviation; temperature separation; thermal hyperspectral imager; wavelet transform method; Land surface; Land surface temperature; Remote sensing; Spatial resolution; Temperature measurement; Temperature sensors; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721198

Filename

6721198