Abstract
In aerial detection, photoelectric sensor as the main detection form, can usually obtain a large number of image data in the detection target area, however, the communication bandwidth is often limited. As a result, the contradiction between powerful image acquisition and limited bandwidth causes the massive detected images cannot be completely transmitted. To address this problem, an effective method of acquisition information optimization for image screening and transmission in aerial detection is proposed in this paper. This proposed method is mainly based on the principle of sparse coding, in which the key information is extracted and can reconstruct the other information well via a linear combination. It can autonomously select and transmit the most valuable images without the requirement of prior information. As a result, the transmission of redundant information is greatly reduced, and the requirement for communication bandwidth of detection system is also reduced.
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Li, J., Liu, X., Wang, L., Kong, F., Li, Z., Yin, G. (2021). Information Optimization for Image Screening and Transmission in Aerial Detection. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_59
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DOI: https://doi.org/10.1007/978-3-030-67514-1_59
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