57results about How to "Noise immunity" patented technology

The invention discloses a remote sensing image change detecting method with the combination of multi-resolution NMF (non-negative matrix factorization) and Treelet, aiming at solving the problem that the balance is often hard to make when image details and smooth regions are considered in terms of single resolution, and also aiming at keeping both the detailed information of an image and the information of a smooth region in the image change detection. The implementation process of the method is as follows: inputting two time-phase images, and constructing a differential image and carrying out median filter by using a direct differential value; subsequently extracting images of different resolution by using a NMF algorithm; obtaining thresholds of the filtered differential image and images of different resolution respectively; combining threshold images by using a Treelet algorithm; and dividing the combined image by using a region growing method so as to obtain a final change detection result. With the adoption of the method, the problem that an adjacent region structure of the image is likely to be affected by independent noise points is solved, both the detailed information of the image and the information of the smooth region can be kept, the independent noise can be eliminated, the change detection precision is improved, and so that the method can be used in fields of disaster monitoring, land utilization, agricultural investigation and the like.

The present disclosure provides a multi-modal emotion recognition method and system. The scheme uses a novel and robust endpoint detection algorithm for speech components in emotional video samples, and utilizes the prediction residue generated during the sample reconstruction process under the compressed sensing theory. The difference conditional entropy parameter is used to calculate the difference value of the residual conditional entropy during the iterative process of the Orthogonal Matching Pursuit (OMP) algorithm, to complete the endpoint detection according to the empirical threshold, and to complete the feature learning of the emotional speech of the vocal segment based on the reconstruction sample; at the same time, through the emotional The endpoint detection results of the voice, the facial expression images are screened, and only the facial expression images with active emotional voices in the same time period are retained to achieve the purpose of enhancing the emotional separability of the facial expression data set and reducing redundancy; emotional voice Features and facial expression features are fused through features to train an effective multi-modal emotion recognition model to achieve effective multi-modal emotion recognition.