A method for online extraction of video satellite data identification features
A technology for satellite data and identification features, which is applied in the field of image processing to achieve the effects of expanding differences, segmenting backgrounds, and reducing pixel information loss.
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[0031] This embodiment discloses a method for online extraction of identification features of video satellite data. First, an image of video satellite data is obtained, and data labeling is performed on the acquired image. The semantic segmentation model and the self-encoding network model extract discriminative features, which specifically include the following steps:
[0032] S1, using the UC-MERCED dataset to train the symmetric semantic segmentation model online in order to more effectively obtain the image features in the video satellite data;
[0033] S2, use the trained symmetric semantic segmentation model to semantically segment video satellite data, obtain a series of image feature maps, and finally segment them into regional blocks with certain semantic meanings, and identify the semantic category of each regional block, thus obtaining Segmented images with pixel-wise semantic annotations;
[0034] S3, establish a feature screening mechanism, and filter out target ...
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