Remote sensing image semantic description method based on multistage feature fusion
A remote sensing image and semantic description technology, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve the problems of inability to generate variable length, flexible description sentences, limit the diversity of description text, etc., to improve the reliability Readability and accuracy, the effect of solving long-term dependency problems
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[0044] The present invention will be further explained below in conjunction with the accompanying drawings and specific examples.
[0045] Such as figure 1 As shown, a semantic description method of remote sensing images based on multi-level feature fusion includes the following steps:
[0046] Step 1. Constructing a semantic description dataset of remote sensing images, the steps are as follows: obtain the original high-resolution remote sensing images; perform preprocessing on the above-mentioned obtained high-resolution remote sensing images, including image denoising and cropping, and the size obtained in this embodiment is Image data sets between 300-1000; for each image, artificially add semantic description, describe the image content in the form of natural language, each image is described by T sentences, and the image and semantic annotation together form a complete remote sensing image semantic description Dataset; at the same time, download the public remote sensin...
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