Abstract
This paper focuses on solving the problem of information loss during the generation of remote sensing image captions. In the field of artificial intelligence, the automatic description of remote sensing images is an important but rarely studied task. In the traditional framework, due to the higher pixels of the remote sensing image and the smaller target, when the image is processed and classified, the information is largely lost. In this case, we propose a new remote sensing image captioning framework using deep learning technology and attention mechanism. The experimental results show that the model can generate a full sentence description for remote sensing images.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (61472161), Science & Technology Development Project of Jilin Province (20180101334JC).
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Wang, S., Chen, J., Wang, G. (2018). Intensive Positioning Network for Remote Sensing Image Captioning. In: Peng, Y., Yu, K., Lu, J., Jiang, X. (eds) Intelligence Science and Big Data Engineering. IScIDE 2018. Lecture Notes in Computer Science(), vol 11266. Springer, Cham. https://doi.org/10.1007/978-3-030-02698-1_49
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DOI: https://doi.org/10.1007/978-3-030-02698-1_49
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