Abstract
The characteristics of remote sensing image are big data volume and high resolution. It is difficult to meet actual demands by using traditional techniques for transmission and storage. This paper studies and designs remote sensing image compression encoder with FPGA technology and three-layer feedforward BP neural network. The neural network can parallelly process large amounts of data, and has a structural characteristic of self-learning and self-organizing. The encoder has a simple structure, safety, fast speed, good reconfiguration. It overcomes shortcomings of conventional compression techniques which compress high-resolution images ineffectively. The study has some theoretical values in the field of image compression.
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