In order to ensure safely and effective operation of the transmission line, the condition monitoring of transmission lines is widely applied to discover the dangerous points of transmission lines and monitor surrounding weather conditions. Since transmission lines run across fields, adopting mobile communication network to carry out the data transmission is very convenience. The operation cost is directly proportional to whose flow for data transmission. In order to reduce the operation cost, the compressed sensing technology is applied to image compression and image reconstruction in this paper. The proposed method uses sparse random matrix to sample transmission lines images on sensing nodes. Then reconstructing the image in the monitoring center using the generalized Orthogonal Matching Pursuit (gOMP) algorithm. The proposed method carries out the compression of image information transmitted under the precondition of ensuring the image quality, to reduce the data flow for image information, to further reduce the operation cost of the system.
Image compression and reconstruction of transmission line monitoring images using compressed sensing
01.07.2017
473677 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Image reconstruction for compressed sensing based on joint sparse bases and adaptive sampling
British Library Online Contents | 2018
|Pre-processing of SAR Images through Compressed Sensing
IEEE | 2019
|