THE USE OF MULTIPLE CLASSIFIER SYSTEMS FOR IMPROVING THE CLASSIFICATION ACCURACY OF HIGH-DIMENSIONAL FULLY POLARIMETRIC SAR IMAGES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHOSRAVI IMAN; AKHONDZADEH MEHDI

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2014 | Volume:2 | Issue:3 Page(s): 69-84

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

903

Download:

Cites:

Information Journal Paper

Title

THE USE OF MULTIPLE CLASSIFIER SYSTEMS FOR IMPROVING THE CLASSIFICATION ACCURACY OF HIGH-DIMENSIONAL FULLY POLARIMETRIC SAR IMAGES

Author(s)

KHOSRAVI IMAN | AKHONDZADEH MEHDI | Issue Writer Certificate

Keywords

MULTIPLE CLASSIFIER SYSTEMQ2

FULLY POLARIMETRIC IMAGEQ2

RADARQ2

SARQ2

HIGH-DIMENSIONALQ2

Abstract

A fully polarimetric synthetic aperture RADAR (POLSAR) image can provide a HIGH-DIMENSIONAL data. This large amount of information can increase the overall accuracy of land-cover classification. But increasing the data dimensions if inadequately number of training samples may increase the complexity and cause the curse of dimensionality phenomenon. One of the strategies for solving this problem is the use of MULTIPLE CLASSIFIER SYSTEMs (MCS) that has the capability of divide and conquer to the large data as compared to the individual classifiers. In addition, some of MCS methods using the weak and unstable classifiers such as decision tree (DT) and neural network (NN) can obtain the high accuracy in HIGH-DIMENSIONAL data. The objective of this paper is also to use several popular MCS methods such as adaboost, bagging and random forests in order to improve the accuracy of land-cover classification from HIGH-DIMENSIONAL PolSAR images. The data used in this paper are RADARsat-2 image from San Francisco Bay and AIRSAR image of Flevoland. For classifying two these images, 69 polarimetric features were extracted from them. Two classifiers of DT and NN were chosen as the base classifiers of adaboost and bagging methods. In the next, the MCS methods were compared with the individual classifiers of DT and NN. The results indicated the higher overall accuracy of MCS methods between 5%–8% for classifying first image and 9%–16% for classifying second image. Even, the producer's accuracy and user's accuracy of MCS methods at all classes were more than the those of individual classifiers. So that at some classes, the difference was between 20% to even near 50%. These results confirmed that the MCS methods not only can produce higher overall accuracy at land-cover classification, but also they have the higher efficiency and reliability at discriminate individual classes.

Cites

No record.

References

No record.

Cite

APA: Copy

KHOSRAVI, IMAN, & AKHONDZADEH, MEHDI. (2014). THE USE OF MULTIPLE CLASSIFIER SYSTEMS FOR IMPROVING THE CLASSIFICATION ACCURACY OF HIGH-DIMENSIONAL FULLY POLARIMETRIC SAR IMAGES. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 2(3), 69-84. SID. https://sid.ir/paper/230181/en

Vancouver: Copy

KHOSRAVI IMAN, AKHONDZADEH MEHDI. THE USE OF MULTIPLE CLASSIFIER SYSTEMS FOR IMPROVING THE CLASSIFICATION ACCURACY OF HIGH-DIMENSIONAL FULLY POLARIMETRIC SAR IMAGES. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2014;2(3):69-84. Available from: https://sid.ir/paper/230181/en

IEEE: Copy

IMAN KHOSRAVI, and MEHDI AKHONDZADEH, “THE USE OF MULTIPLE CLASSIFIER SYSTEMS FOR IMPROVING THE CLASSIFICATION ACCURACY OF HIGH-DIMENSIONAL FULLY POLARIMETRIC SAR IMAGES,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 2, no. 3, pp. 69–84, 2014, [Online]. Available: https://sid.ir/paper/230181/en

Related Journal Papers