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A selective combined classification algorithm for mapping alterations on ASTER data

Content Provider	Springer Nature Link
Author	Oskouei, Majid M. Busch, Wolfgang
Copyright Year	2012
Abstract	We present a method for combined classification aiming to map alterations in a set of ASTER (Advanced Spaceborne Thermal Emission and reflection) data in the Erongo Complex, Namibia. Ten alterations detected by the matched filtering unmixing method on the Hyperion dataset of the area are therefore used as training classes. The separability of the classes was computed to evaluate the ability of ASTER data to spectrally discriminate between these classes. The outcome of this computation is satisfactory for the high-probability training dataset. In order to improve the accuracy of upcoming processes, classes with high similarity (low separability) were combined. The classification of ASTER scene is then performed with the use of both individual and combined classification classifiers. A new combined classification method (named selective combined classification (SCC)) was developed in this research to achieve the highest possible accuracy in the resultant classification map. An accuracy analysis has proven the advantages and capability of SCC among all classifiers tested in this study (both individual and combined).
Starting Page	47
Ending Page	54
Page Count	8
File Format	PDF
ISSN	18669298
Journal	Applied Geomatics
Volume Number	4
Issue Number	1
e-ISSN	1866928X
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-01-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Remote sensing ASTER Classification Alteration mapping Selective combined classification Geographical Information Systems/Cartography
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Geography, Planning and Development Engineering Environmental Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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