Paper Info
Title
Combining Landsat and ALOS data for land cover mapping.
Abstract
In this study, L-band ALOS PALSAR radar satellite image and Landsat TM optical satellite image were used to investigate the contribution of radar satellite image to optical satellite image for land cover mapping. Dual-polarimetric data of ALOS satellite and also normalized difference vegetation index (NDVI) generated from Landsat image were used for the analysis. In addition, different classification techniques were taken into consideration and forest dominated land cover maps were produced and the results were compared. Random Forest (RF), k-Nearest Neighbors (k-NN) and Support Vector Machines (SVM) approaches were applied as image classification techniques. While the best result among the methods is DVM, the data set in which combined data arc used gives the best general accuracy result.
Year
Venue
Keywords
2017
Signal Processing and Communications Applications Conference
Landsat,ALOS,land cover,image classification
Field
DocType
ISSN
Synthetic aperture radar,Computer science,Remote sensing,Normalized Difference Vegetation Index,Artificial intelligence,Contextual image classification,Random forest,Land cover,Geodesy,Radar,Satellite,Interferometric synthetic aperture radar,Pattern recognition
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Saygin Abdikan1123.70
Ustuner, Mustafa222.07
Fusun Balik Sanli384.51
Gökhan Bilgin46213.18