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A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification
Joint Authors
Wang, Guizhou
Liu, Jianbo
He, Guojin
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a new classification method for high-spatial-resolution remote sensing images based on a strategic mechanism of spatial mapping and reclassification.
The proposed method includes four steps.
First, the multispectral image is classified by a traditional pixel-based classification method (support vector machine).
Second, the panchromatic image is subdivided by watershed segmentation.
Third, the pixel-based multispectral image classification result is mapped to the panchromatic segmentation result based on a spatial mapping mechanism and the area dominant principle.
During the mapping process, an area proportion threshold is set, and the regional property is defined as unclassified if the maximum area proportion does not surpass the threshold.
Finally, unclassified regions are reclassified based on spectral information using the minimum distance to mean algorithm.
Experimental results show that the classification method for high-spatial-resolution remote sensing images based on the spatial mapping mechanism and reclassification strategy can make use of both panchromatic and multispectral information, integrate the pixel- and object-based classification methods, and improve classification accuracy.
American Psychological Association (APA)
Wang, Guizhou& Liu, Jianbo& He, Guojin. 2013. A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011648
Modern Language Association (MLA)
Wang, Guizhou…[et al.]. A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification. The Scientific World Journal No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1011648
American Medical Association (AMA)
Wang, Guizhou& Liu, Jianbo& He, Guojin. A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1011648
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011648