Realization Technology of Texture Feature Extraction Algorithm of Remote Sensing Satellite Image Based on FPGA

In recent years, the research on remote sensing image information output has developed rapidly, including not only remote sensing technology, image processing, pattern recognition, etc., but also land use, environmental monitoring, disaster forecasting, urban planning and other fields. The purpose of this paper is to study the realization technology of remote sensing satellite image texture feature extraction algorithm based on FPGA. A hardware system implementation scheme based on FPGA is proposed. Firstly, the overall structure of the system is established, and the software and hardware platforms are selected. Then, according to the difficulty of the algorithm, it is proposed to divide the algorithm into two parts, and the system based on hardware logic and based on soft core processor is described in detail. Implementation plan. An object modeling method based on Gabor texture blocks is introduced. This method is applied to the extraction of urban buildings from remote sensing images, and the final building extraction accuracy reaches 91.5%.