A Two-Phase Pansharpening Algorithm for Remote Sensing Imagery

  • 王 逸雯

Student thesis: Master's Thesis

Abstract

Pansharpening is the technique that fuses high spectral resolution multispectral (MS) images and a high spatial resolution panchromatic (PAN) image to create a high spatial and high spectral resolution fused image In this Thesis a two-phase pansharpening algorithm is proposed First the spatial resolution of MS images is up-scaled by super-resolution technique with the relationship between the PAN and MS images Second the algorithm based on the Intensity-Hue-Saturation method and the intensity component is estimated by multiple linear regression between the PAN and MS images The intensity component is replaced by the PAN image according to edge strength Thus the fused result can avoid injecting excessive details and noise in the flat area of land surface such as pools and roofs The experiment results show that the proposed algorithm achieves better visual quality and less artifact
Date of Award2016 Jul 19
Original languageEnglish
SupervisorShen-Chuan Tai (Supervisor)

Cite this

A Two-Phase Pansharpening Algorithm for Remote Sensing Imagery
逸雯, 王. (Author). 2016 Jul 19

Student thesis: Master's Thesis