Crop Classification with Gokturk-2 Time Series Imagery

Date

2016-05-19

Author

Teke, Mustafa
Çetin, Yasemin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

0
views

0
downloads

Monitoring of crops is an important need for feeding increasing population and ensure food security. Turkey has distinct regions in which various crops are grown. In this study, winter wheat, corn and cotton are classified in Harran Plains. Spectral Angle Mapper (SAM) and Dynamic Time Warping (DTW) methods are applied to nine Gokturk-2 time series imagery which resulted over 99% classification accuracy.

Subject Keywords

DTW, SAM, Crop classification, Time Series Analysis, Gokturk-2

URI

https://hdl.handle.net/11511/54302

Collections

Graduate School of Informatics, Conference / Seminar