Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6721198
