Image fusion and reconstruction of compressed data: A joint approach - Archive ouverte HAL Access content directly
Conference Papers Year :

Image fusion and reconstruction of compressed data: A joint approach

(1) , (2) , (3) , (1)
1
2
3

Abstract

In the context of data fusion, pansharpening refers to the combination of a panchromatic (PAN) and a multispectral (MS) image, aimed at generating an image that features both the high spatial resolution of the former and high spectral diversity of the latter. In this work we present a model to jointly solve the problem of data fusion and reconstruction of a compressed image; the latter is envisioned to be generated solely with optical on-board instruments, and stored in place of the original sources. The burden of data downlink is hence significantly reduced at the expense of a more laborious analysis done at the ground segment to estimate the missing information. The reconstruction algorithm estimates the target sharpened image directly instead of decompressing the original sources beforehand; a viable and practical novel solution is also introduced to show the effectiveness of the approach.
Fichier principal
Vignette du fichier
Picone_ICIP2018_cameraready.pdf (1.67 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01851515 , version 1 (30-07-2018)

Identifiers

  • HAL Id : hal-01851515 , version 1

Cite

Daniele Picone, Laurent Condat, Florian Cotte, Mauro Dalla Mura. Image fusion and reconstruction of compressed data: A joint approach. ICIP 2018 - 25th IEEE International Conference on Image Processing, Oct 2018, Athènes, Greece. ⟨hal-01851515⟩
188 View
159 Download

Share

Gmail Facebook Twitter LinkedIn More