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  • 标题:Comparative Analysis of Feature Detectors for Automatic Satellite Image Registration
  • 本地全文:下载
  • 作者:Ami S. Shete ; Sandip R. Panchal
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:4
  • 页码:7822
  • DOI:10.15680/IJIRCCE.2016.0404292
  • 出版社:S&S Publications
  • 摘要:Image registration is the first step towards using the satellite images for any purpose. It is the fundamental task used to match two or more partially overlapping multi view, multi modal or multi temporal images and stitches these images into one image comprising the whole scene. Automatic satellite image registration is a challenging task of overlaying two images for geometric conformity aligning common features by establishing a transformation model using distinguishable feature points collected simultaneously in reference image and the sensed images in a completely unassisted manner.Accuracy of registered image depends on accurate feature detection and matching. This paper aims to present a comparative analysis of feature detection techniqueslike Scale invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), Harris Corner Detector and Improved version of Harris Corner Detectorused for automatic satellite image registration
  • 关键词:Feature detection; SIFT; SURF; Harris Corner Detector; Improved HarrisCorner Detector
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