Fast high-order matched filter for hyperspectral image target detection
作者: Shuo YangZiyang SongHongyi YuanZhengxia ZouZhenwei Shi
作者单位: 1Beijing Electro-Mechanical Engineering Institute, Beijing 100074, PR China
2Satellite Operation Division of HiWing, The Third Academy of China Aerospace Science and Industry Corporation Limited, Beijing 100070, PR China
3Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, PR China
刊名: Infrared Physics and Technology, 2018, Vol.94 , pp.151-155
来源数据库: Elsevier Journal
DOI: 10.1016/j.infrared.2018.09.018
关键词: Hyperspectral imageTarget detectionFast high-order matched filter (FHMF)Fixed-point algorithm
英文摘要: Abstract(#br)Hyperspectral image target detection is an important application for both of its civil and military uses. Traditional hyperspectral image target detection algorithms are usually designed based on the second-order statistics of the data where it is assumed that the target follows a Gaussian distribution. However, due to the low spatial resolution of the hyperspectral sensor, sometimes the targets of interest only occupy a few pixels. In this case, targets are more suitable to be described by high-order statistics. In this paper, we propose a fast high-order matched filter (FHMF) algorithm which describes the essence of the data more properly and then formulate the detection problem as an optimization problem. To solve the optimization problem efficiently, a fixed-point...
全文获取路径: Elsevier  (合作)
影响因子:1.364 (2012)

  • matched 匹配的
  • image 
  • filter 过滤机
  • detection 探测
  • point 
  • algorithm 算法
  • order 
  • target 目标