A Novel Approach to Developing a Supervised Spatial Decision Support System for Image Classification : A Study of Paddy Rice Investigation
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Paddy rice area estimation via remote sensing techniques has been well established in recent years.
Texture information and vegetation indicators are widely used to improve the classification accuracy of satellite images.
Accordingly, this study employs texture information and vegetation indicators as ancillary information for classifying paddy rice through remote sensing images.
In the first stage, the images are attained using a remote sensing technique and ancillary information is employed to increase the accuracy of classification.
In the second stage, we decide to construct an efficient supervised classifier, which is used to evaluate the ancillary information.
In the third stage, linear discriminant analysis (LDA) is introduced.
LDA is a well-known method for classifying images to various categories.
Also, the particle swarm optimization (PSO) algorithm is employed to optimize the LDA classification outcomes and increase classification performance.
In the fourth stage, we discuss the strategy of selecting different window sizes and analyze particle numbers and iteration numbers with corresponding accuracy.
Accordingly, a rational strategy for the combination of ancillary information is introduced.
Afterwards, the PSO algorithm improves the accuracy rate from 82.26% to 89.31%.
The improved accuracy results in a much lower salt-and-pepper effect in the thematic map.
American Psychological Association (APA)
Chang, Shih-Hsun. 2014. A Novel Approach to Developing a Supervised Spatial Decision Support System for Image Classification : A Study of Paddy Rice Investigation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-499390
Modern Language Association (MLA)
Chang, Shih-Hsun. A Novel Approach to Developing a Supervised Spatial Decision Support System for Image Classification : A Study of Paddy Rice Investigation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-499390
American Medical Association (AMA)
Chang, Shih-Hsun. A Novel Approach to Developing a Supervised Spatial Decision Support System for Image Classification : A Study of Paddy Rice Investigation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-499390
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499390