Journal of Systems Engineering and Electronics ›› 2014, Vol. 25 ›› Issue (4): 681-.doi: 10.1109/JSEE.2014.00078

• SOFTWARE ALGORITHM AND SIMULATION • Previous Articles     Next Articles

Robust key point descriptor for multi-spectral image matching

Yueming Qin1,2, Zhiguo Cao1,*, Wen Zhuo1, and Zhenghong Yu1   

  1. 1. National Key Laboratory of Science and Technology on Multi-spectral Information Processing,
    School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. Yichang Testing Technique R&D Institute, Yichang 443003, China
  • Online:2014-08-22 Published:2010-01-03


Histogram of collinear gradient-enhanced coding (HCGEC), a robust key point descriptor for multi-spectral image matching, is proposed. The HCGEC mainly encodes rough structures within an image and suppresses detailed textural information, which is desirable in multi-spectral image matching. Experiments
on two multi-spectral data sets demonstrate that the proposed descriptor can yield significantly better results than some state-ofthe- art descriptors.