Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost

Title
Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost
Authors
Keywords
Sugarcane, Crops, Remote sensing, Charge-coupled devices, Machine learning algorithms, Remote sensing imagery, Peanut, Data mining
Journal
PLoS One
Volume 10, Issue 11, Pages e0142069
Publisher
Public Library of Science (PLoS)
Online
2015-11-04
DOI
10.1371/journal.pone.0142069

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

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

Create Now