US Patent Issued to Dalian Minzu University on March 17 for "Hyperspectral target detection method of binary-classification encoder network based on momentum update" (Chinese Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,780, issued on March 17, was assigned to Dalian Minzu University (Dalian, China).

"Hyperspectral target detection method of binary-classification encoder network based on momentum update" was invented by Liguo Wang (Dalian, China), Xiaoyi Wang (Dalian, China), Danfeng Liu (Dalian, China), Haitao Liu (Dalian, China) and Ying Xiao (Dalian, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A hyperspectral target detection method of a binary-classification encoder network based on a momentum update is provided, and includes following steps: converting an acquired 3-D hyperspectral image into a hyperspectral image in a 2-D matrix form, performing a c...