Hyperspectral and panchromatic image fusion through an improved ratio enhancement

Qizhi Xu, Weixing Qiu, Bo Li*, Feng Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The goal of ratio enhancement for hyperspectral (HS) image pansharpening is to obtain an enhancement ratio between a simulated low-resolution panchromatic (Pan) image and an original high-resolution Pan image. However, the simulated low-resolution Pan image often suffers from gray-level distortion. To solve these problems, the original HS bands are synthesized to a smaller number of reduced HS bands, then the pixels of Pan and HS images are divided into different groups according to the linearity between the Pan band and the reduced bands. For each pixel group, a nonnegative least-squares algorithm is utilized to calculate the weights of reduced HS bands, so that the simulated Pan image is obtained by weighted summation of reduced HS bands. Finally, the HS image is sharpened by a ratio enhancement. The experiments demonstrated that the proposed method had a good performance on fusion quality.

Original languageEnglish
Article number015017
JournalJournal of Applied Remote Sensing
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Keywords

  • Hyperspectral image
  • Image fusion
  • Pansharpening
  • Ratio enhancement
  • Remote sensing

Fingerprint

Dive into the research topics of 'Hyperspectral and panchromatic image fusion through an improved ratio enhancement'. Together they form a unique fingerprint.

Cite this