Title :
A Practical Method of Feature Extraction for Water Surface Temperature Based on Thermal Infrared Remote Sensing Image
Author :
Zhou, Li ; Jiang, Ting-Chen ; Lu, Xia
Author_Institution :
Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
Abstract :
In this paper, the retrieval model of water surface temperature is studied on the base on ASTER Thermal Infrared Multispectral data. The model of the radiation brightness switching, water surface brightness temperature and water surface temperature are constituted for the ASTER thermal infrared Multispectral TIR. The practical model base on the mono-window algorithm is detruded to be fit for the temperature retrieval on the water surface temperature, it need not estimate the temperature parameter. Not only simplifies the regression estimate but also increases the retrieval precision of the mono-window algorithm and reliability. The Haizhou Bay area of sea surface temperature are extracted, and the arithmetic precision are estimated to make use of the observation data of the weather.
Keywords :
feature extraction; image retrieval; infrared imaging; ocean temperature; oceanographic techniques; remote sensing; ASTER Thermal Infrared Multispectral data; ASTER thermal infrared Multispectral TIR; Haizhou Bay area; feature extraction; mono-window algorithm; radiation brightness switching; regression estimate; retrieval model; sea surface temperature; temperature retrieval; thermal infrared remote sensing image; water surface brightness temperature; Brightness temperature; Feature extraction; Information retrieval; Infrared imaging; Ocean temperature; Parameter estimation; Remote sensing; Sea surface; Surface fitting; Temperature sensors;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304488
