Research Article
Information Optimization for Image Screening and Transmission in Aerial Detection
@INPROCEEDINGS{10.1007/978-3-030-67514-1_59, author={Jieqi Li and Xi Liu and Lefan Wang and Fu Kong and Zhengxue Li and Geling Yin}, title={Information Optimization for Image Screening and Transmission in Aerial Detection}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={Information optimization Image screening Aerial detection}, doi={10.1007/978-3-030-67514-1_59} }- Jieqi Li
Xi Liu
Lefan Wang
Fu Kong
Zhengxue Li
Geling Yin
Year: 2021
Information Optimization for Image Screening and Transmission in Aerial Detection
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_59
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.
