articleJan 8, 2026GREEN OA

Restoration of hyperspectral push-broom scanner data

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Abstract

Several effects combine to distort the multispectral data that are obtained from push-broom scanners. We develop an algorithm for restoration of such data, illustrated on images from the ROSIS scanner. In push-broom scanners variation between elements in the detector array results in a strong striping along flight lines. A non-systematic striping is also present along flight lines. Furthermore, line drop-outs occur, and finally, various types of electronic noise of salt-and-pepper type are also present. We describe techniques for the correction for all these types of effects. Line drop-outs are located automatically using line means statistics, and if present new pixel values are interpolated from the…

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Topics & keywords

Keywords
  • Hyperspectral imaging
  • Scanner
  • Broom
  • Remote sensing
  • Environmental science
  • Computer science
  • Computer vision
  • Artificial intelligence
UN Sustainable Development Goals
  • Sustainable cities and communities
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