Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination
Joint Authors
Zhao, Long
Zhang, Pan
Ma, Xiaoyi
Pan, Zhuokun
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A timely and accurate understanding of land cover change has great significance in management of area resources.
To explore the application of a daily normalized difference vegetation index (NDVI) time series in land cover classification, the present study used HJ-1 data to derive a daily NDVI time series by pretreatment.
Different classifiers were then applied to classify the daily NDVI time series.
Finally, the daily NDVI time series were classified based on multiclassifier combination.
The results indicate that support vector machine (SVM), spectral angle mapper, and classification and regression tree classifiers can be used to classify daily NDVI time series, with SVM providing the optimal classification.
The classifiers of K-means and Mahalanobis distance are not suited for classification because of their classification accuracy and mechanism, respectively.
This study proposes a method of dimensionality reduction based on the statistical features of daily NDVI time series for classification.
The method can be applied to land resource information extraction.
In addition, an improved multiclassifier combination is proposed.
The classification results indicate that the improved multiclassifier combination is superior to different single classifier combinations, particularly regarding subclassifiers with greater differences.
American Psychological Association (APA)
Zhao, Long& Zhang, Pan& Ma, Xiaoyi& Pan, Zhuokun. 2017. Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1191517
Modern Language Association (MLA)
Zhao, Long…[et al.]. Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1191517
American Medical Association (AMA)
Zhao, Long& Zhang, Pan& Ma, Xiaoyi& Pan, Zhuokun. Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1191517
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191517