Title
Land Cover Classification Using Features Generated From Annual Time-Series Landsat Data.
Abstract
The objective of this letter is to investigate and demonstrate potential accuracy improvements in land cover classification using Landsat data, by integrating time-series features with a specially designed classification method. We present a new framework, mapping land cover types using annual time-series Landsat data (LandUTime), which adopts a two-stage approach. First, to generate pattern featu...
Year
DOI
Venue
2018
10.1109/LGRS.2018.2805715
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Remote sensing,Earth,Artificial satellites,Feature extraction,Land surface,Trajectory,Training
Satellite,Subspace topology,Regression analysis,Remote sensing,Feature extraction,Cohen's kappa,Evergreen forest,Pixel,Land cover,Mathematics
Journal
Volume
Issue
ISSN
15
5
1545-598X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jingge Xiao100.34
Hong-Gan Wu201.01
Chengbo Wang300.34
Hao Xia400.34