Home > Research > Publications & Outputs > Multisource and multitemporal data fusion in re...

Electronic data

  • Paper

    Rights statement: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 5.52 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art

Research output: Contribution to journalJournal articlepeer-review

Published
  • P. Ghamisi
  • B. Rasti
  • N. Yokoya
  • Q. Wang
  • B. Hofle
  • L. Bruzzone
  • F. Bovolo
  • M. Chi
  • K. Anders
  • R. Gloaguen
  • P.M. Atkinson
  • J.A. Benediktsson
Close
<mark>Journal publication date</mark>1/03/2019
<mark>Journal</mark>IEEE Geoscience and Remote Sensing Magazine
Issue number1
Volume7
Number of pages34
Pages (from-to)6-39
Publication StatusPublished
<mark>Original language</mark>English

Abstract

The recent, sharp increase in the availability of data captured by different sensors, combined with their considerable heterogeneity, poses a serious challenge for the effective and efficient processing of remotely sensed data. Such an increase in remote sensing and ancillary data sets, however, opens up the possibility of utilizing multimodal data sets in a joint manner to further improve the performance of the processing approaches with respect to applications at hand. Multisource data fusion has, therefore, received enormous attention from researchers worldwide for a wide variety of applications. Moreover, thanks to the revisit capability of several.

Bibliographic note

©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.