Investigators at Hefei University of Technology Detail Findings in Mathematics (Completed Local Binary Patterns Feature Integrated Convolutional Neural Network-based Terrain Classification Algorithm In Polarimetric Synthetic Aperture Radar ...)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Investigators publish new report on Mathematics. According to news reporting out of Hefei, People’s Republic of China, by NewsRx editors, research stated, “We propose a polarimetric synthetic aperture radar (PolSAR) image terrain classification algorithm based on complete local binary patterns (CLBP) feature integrated convolutional neural network (CNN) (CLBP-CNN). Traditional CNN has a powerful high-level deep features extraction ability, which can effectively improve the terrain classification accuracy in PolSAR images.”