测绘通报 ›› 2019, Vol. 0 ›› Issue (6): 47-51.doi: 10.13474/j.cnki.11-2246.2019.0182

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Matching algorithms for heterogenous multi-resolution satellite images

HUO Menjie, FAN Dazhao, DONG Yang   

  1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
  • Received:2018-09-16 Revised:2018-11-07 Online:2019-06-25 Published:2019-07-01

Abstract:

In this paper, the image feature extraction, feature description, feature matching and the matching purification algorithm are studied by taking the satellite image of heterogeneous and multi-resolution remote sensing as the research object. Different feature extraction and matching algorithms are combined and the applicability of each algorithm is obtained through experimental comparison. Based on this, a set of matching process for multi-resolution satellite images is designed.

Key words: heterogenous multi-resolution images, feature extraction and description, feature matching, matching purification

CLC Number: