35results about How to "Maintain structural features" patented technology

The invention discloses a SAR image segmentation method based on wavelet pooling convolutional neural network. The scheme is: 1. Construct the wavelet pooling layer and form a wavelet pooling convolutional neural network; 2. Select image blocks and input them into the wavelet pooling convolutional neural network for training; 3. Input all image blocks into the training Test in a good network to get the first category of SAR image; 4. Segment the SAR image with superpixels, and fuse the result with the first category of SAR image to get the second category of SAR image; 5. According to Markov random The airport model obtains the third category of SAR image, and fuses it with the result of superpixel segmentation to obtain the fourth category of SAR image; 6. According to the SAR image gradient map, the second category and the fourth category of SAR image fusion to get the final segmentation result. The invention improves the segmentation effect of the SAR image and can be used for target detection and recognition.

The invention discloses a preparation method of a heteropoly acid supported metal oxide nano fiber. The fiber takes metal oxide a supporter and heteropoly acid as an active component, wherein the weight ratio of the oxide supporter and the heteropoly acid is 1:(0.4-1). The preparation method comprises the following steps: a) spinning a compound precursor containing heteropoly acid and metal acetate to prepare a nano fiber containing the heteropoly acid / metal acetate precursor; and b) performing roasting treatment on the nano fiber containing the heteropoly acid / metal acetate precursor at 300-450 DEG C to obtain the heteropoly acid / metal oxide composite nano fiber. The fiber keeps the structural features of the heteropoly acid itself, and combines the characteristics of the nano fiber such as large specific area, high dispersity and the like; and the preparation method is simple and low in cost.

The invention relates to a specific animation face generation method, terminal device and storage mediumanimation, and the method achieves the color pixel style migration and preliminary animation stylization from a real face to a animation face through combining with a conventional neural style migration technology based on a convolutional neural network. In combination with an existing style migration technology based on a generative adversarial network, domain style migration from a preliminarily animation stylized real face to a specific animation face is realized, and a animation real face image of a specific animation figure is obtained. According to the method, color features can be extracted, facial structure features can be maintained, and facial deformation is reduced; and a required image can be generated for a specific animation character.

The invention provides a preparation method for a spherical cellulose aerogel, which relates to a preparation method for an aerogel. The objective of the invention is to overcome the problems that the phenomena of structure collapse and volume contraction of a conventional cellulose aerogel frequently occur and the specific surface area of an obtained aerogel is small. The method comprises the following steps: 1, putting vegetable fiber in a mixed solution of urea and NaOH and carrying out stirring after refrigeration for formation of a solution so as to obtain a vegetable fiber / alkaline urea solution; 2, mixing trichloromethane with ethyl acetate and then adding glacial acetic acid so as to obtain an organic solution; 3, titrating the vegetable fiber / alkaline urea solution into the organic solution of glacial acetic acid and carrying out ageing so as to obtain a gel; 4, putting the gel into a glacial acetic acid solution for solidification; and 5, replacing a hydrogel successively with absolute ethyl alcohol and tert-butyl alcohol and carrying out refrigeration and freeze-drying so as to obtain the aerogel. According to the invention, the phenomena of structure collapse and volume contraction of an aerogel in the process of drying are overcome, and the prepared cellulose aerogel has low density and a specific surface area of more than 240 m<2> / g.