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- W4384518547 abstract "With the rapid development of remote sensing technology, multi-source remote sensing image fusion has become one of the hot issues in remote sensing field in recent years. Aiming at the poor edge registration of images obtained by conventional remote sensing image fusion system, a multidimensional visual fusion system of remote sensing images based on visual communication is designed. CABAC encoder is selected to make data flow and control flow cooperate with each other to obtain feedback data. However, the rapid increase of data also increases the difficulty of comprehensive observation, because the image data obtained by different sensors have their own differences and limitations in spectral information and spatial details, so we want to bring the fusion technology into this field, expand the working range of the system, improve the reliability of the system, obtain a more efficient representation of information and improve the cost performance of the system. Image fusion technology plays an extremely important role in remote sensing, medicine, natural resources exploration, marine resources management, topography analysis, biology and other fields. The left and right focused images, infrared images and visible images are used for simulation experiments, and the objective evaluation indexes of images are used to verify the feasibility of this method." @default.
- W4384518547 created "2023-07-18" @default.
- W4384518547 creator A5056630426 @default.
- W4384518547 date "2023-05-26" @default.
- W4384518547 modified "2023-09-26" @default.
- W4384518547 title "Visual Communication Design of Multi-dimensional Image Visualization Fusion System Based on Wavelet Transform" @default.
- W4384518547 doi "https://doi.org/10.1109/icetci57876.2023.10176635" @default.
- W4384518547 hasPublicationYear "2023" @default.
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