Unmanned aerial vehicle acquired image processing system and method based on PCNN neural network

• Main Authors: XIE CHUNMING, WANG LENING, ZHU HAONAN, XIONG HAOHAO, SHENG JINWEI, ZHONG YILIANG, CHU FUMIN
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses an unmanned aerial vehicle acquired image processing system and method based on a PCNN neural network, and relates to the technical field of communication and image processing. The method and system provided by the invention detect an information sending channel of the unmanned aerial vehicle, are in butt joint with the unmanned aerial vehicle, and receive a spectral image and a panchromatic image obtained by the unmanned aerial vehicle; performing IHS transformation on the spectral image, matching the intensity component and the panchromatic image, and then decomposing to obtain two low-frequency sub-band image coefficients and two high-frequency sub-band image coefficients; fusing the two low-frequency sub-band image coefficients to obtain a fused low-pass sub-band image coefficient; fusing the two high-frequency sub-band image coefficients through a PCNN module to obtain a fused high-frequency sub-band coefficient; and reconstructing by using the fused low-pass sub-band image coeffi