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http://dx.doi.org/10.7780/kjrs.2008.24.2.117

Automated Vinyl Green House Identification Method Using Spatial Pattern in High Spatial Resolution Imagery  

Lee, Jong-Yeol (Geospatial Research Center, Korea Research Institute for Human Settlement)
Kim, Byoung-Sun (Geospatial Research Center, Korea Research Institute for Human Settlement)
Publication Information
Korean Journal of Remote Sensing / v.24, no.2, 2008 , pp. 117-124 More about this Journal
Abstract
This paper introduces a novel approach for automated mapping of a map feature that is vinyl green house in high spatial resolution imagery Some map features have their unique spatial patterns. These patterns are normally detected in high spatial resolution remotely sensed data by human recognition system. When spatial patterns can be applied to map feature identification, it will improve image classification accuracy and will be contributed a lot to feature identification. In this study, an automated feature identification approach using spatial aucorrelation is developed, specifically for the vinyl green house that has distinctive spatial pattern in its array. The algorithm aimed to develop the method without any human intervention such as digitizing. The method can investigate the characteristics of repeated spatial pattern of vinyl green house. The repeated spatial pattern comes from the orderly array of vinyl green house. For this, object-based approaches are essential because the pattern is recognized when the shapes that are consists of the groups of pixels are involved. The experimental result shows very effective vinyl house extraction. The targeted three vinyl green houses were exactly identified in the IKONOS image for a part of Jeju area.
Keywords
texture; spatial auto-corelation; feature identification;
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