Multi-source remotely sensed data fusion for improving land cover classification

Title
Multi-source remotely sensed data fusion for improving land cover classification
Authors
Keywords
Land cover classification, Remote sensing, Data fusion, Temporal and angular features
Journal
Publisher
Elsevier BV
Online
2016-12-29
DOI
10.1016/j.isprsjprs.2016.12.008

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now