Skip to main content

Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain

Buy Article:

$63.00 plus tax (Refund Policy)

Abstract:

A new methodology for fusing satellite sensor imagery, based on tailored filtering in the Fourier domain is proposed. Finite-duration Impulse Response (FIR) filters have been designed through an objective criterion, which depends on source image characteristics only. The designed filters allow a weighted fusion of the information contained in a fine spatial resolution image (PAN) and in a multispectral image (MULTI), respectively, establishing a trade-off between spatial and spectral quality of the resulting fused image. This new technique has been tested with Landsat Enhanced Thematic Mapper Plus (ETM+) imagery. Spatial and spectral quality of the fused images was compared with the results provided by Mallat's Wavelet algorithm. The images fused by the proposed method were characterized by a spatial resolution very close to the PAN image, and by the spectral resolution of the MULTI image.

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160412331330239

Affiliations: Computer School, Department of Architecture and Technology of Computer, Technical University of Madrid, Campus Montegancedo, Boadilla del Monte, 28660 Madrid, Spain

Publication date: 2005-03-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more