Abstract: The present disclosure provides a method, system and apparatus for correcting satellite observation data. By acquiring microwave radiometer (MWR) movement observation data of a radiosonde observation limited sounding area, correcting the MWR movement observation data based on corresponding radiosonde observation data, and correcting satellite observation data based on the radiosonde observation data and corrected MWR movement observation data, the present disclosure corrects the satellite observation data of the radiosonde observation limited detection area, reduces an error of the satellite observation data, and makes the satellite observation data more accurate.

Abstract: The disclosure discloses a face authentication method and device. The face authentication method includes: acquiring multiple face training images; extracting Gabor features of the multiple face training images; extracting Pattern of Oriented Edge Magnitude (POEM) features of the multiple face training images; fusing the Gabor features of the multiple face training image and the POEM features of the multiple face training image to acquire positive samples and negative samples of the multiple face training images; training the positive samples and negative samples of the multiple face training images to obtain training results by an AdaBoost algorithm; and performing face authentication by the training results.

Abstract: An eye location method and device includes: receiving a face image; locating a position of a nose and positions of eyes in the face image; determining a facial symmetry axis according to the position of the nose; and regulating the positions of the eyes by the facial symmetry axis to obtain target positions of the eyes. By the method and the device, the problem of poorer eye location accuracy in the conventional art is solved, and the effect of improving eye location accuracy is further achieved.

Abstract: The disclosure discloses a face authentication method and device. The face authentication method includes: acquiring multiple face training images; extracting Gabor features of the multiple face training images; extracting Pattern of Oriented Edge Magnitude (POEM) features of the multiple face training images; fusing the Gabor features of the multiple face training image and the POEM features of the multiple face training image to acquire positive samples and negative samples of the multiple face training images; training the positive samples and negative samples of the multiple face training images to obtain training results by an AdaBoost algorithm; and performing face authentication by the training results.

Abstract: An eye location method and device includes: receiving a face image; locating a position of a nose and positions of eyes in the face image; determining a facial symmetry axis according to the position of the nose; and regulating the positions of the eyes by the facial symmetry axis to obtain target positions of the eyes. By the method and the device, the problem of poorer eye location accuracy in the conventional art is solved, and the effect of improving eye location accuracy is further achieved.