A new algorithm for cloud detection over sea surface has been developed that makes use of autocorrelation and cross correlation between a real spectrum and either a synthetic or a laboratory spectrum. The scheme is intended for high-spectral-resolution satelliteborne infrared sensors that will measure the Earth’s entire emission spectrum rather than the upwelling radiance in a few channels. A new index is defined with which one can determine quantitatively the degree of homogeneity of two spectra in the 800–900-cm−1 (11.11–12.5 μm) window region. The index makes use of only the observed spectrum along with a reference synthetic spectrum and, therefore, may form the basis for an operational stand-alone cloud-detection algorithm for next-generation high-spectral-resolution infrared sensors. Application both to synthetic spectra obtained in simulation and to sea-surface real spectra recorded through the interferometric monitor for greenhouse gases is considered.
© 2000 Optical Society of America
[Optical Society of America ]
(010.0010) Atmospheric and oceanic optics : Atmospheric and oceanic optics
(010.1290) Atmospheric and oceanic optics : Atmospheric optics
(010.3920) Atmospheric and oceanic optics : Meteorology
(280.0280) Remote sensing and sensors : Remote sensing and sensors
Carmine Serio, Alberta Marcella Lubrano, Filomena Romano, and Haruisha Shimoda, "Cloud Detection Over Sea Surface by use of Autocorrelation Functions of Upwelling Infrared Spectra in the 800–900-cm−1 Window Region," Appl. Opt. 39, 3565-3572 (2000)