| Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference |
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| 作者姓名： | Susan USTIN |
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| 作者单位： | Department |
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| 基金项目： | Foundation item： Under the auspices of Natural Science Foundation of Jiangsu Province （No. BK2008360）, Foundamental Research Funds for the Central Universities （No. 2009B12714, 2009B11714） |
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| 摘 要： | Inland freshwater lake wetlands play an important role in regional ecological balance.Hongze Lake is the fourth biggest freshwater lake in China.In the past three decades,there has been significant loss of freshwater wetlands within the lake and at the mouths of neighboring rivers,due to disturbance,primarily from human activities.The main purpose of this paper was to explore a practical technology for differentiating wetlands effectively from upland types in close proximity to them.In the paper,an integrated method,which combined per-pixel and per-field classification,was used for mapping wetlands of Hongze Lake and their neighboring upland types.Firstly,Landsat ETM+ imagery was segmented and classified by using spectral and textural features.Secondly,ETM+ spectral bands,textural features derived from ETM+ Pan imagery,relative relations between neighboring classes,shape features,and elevation were used in a decision tree classification.Thirdly,per-pixel classification results from the decision tree classifier were improved by using classification results from object-oriented classification as a context.The results show that the technology has not only overcome the salt-and-pepper effect commonly observed in the past studies,but also has improved the accuracy of identification by nearly 5%.
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| 关 键 词： | rule-based inferring object-based classification freshwater lake wetland relation feature Hongze Lake |
Mapping of freshwater lake wetlands using object-relations and rule-based inference |
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| Susan USTIN.Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J].Chinese Geographical Science,2012,22(4):462-471. |
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| Authors: | Renzong Ruan Susan Ustin |
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| Institution: | [1]State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China [2]Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States） |
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| Abstract: | Inland freshwater lake wetlands play an important role in regional ecological balance. Hongze Lake is the fourth biggest freshwater lake in China. In the past three decades, there has been significant loss of freshwater wetlands within the lake and at the mouths of neighboring rivers, due to disturbance, primarily from human activities. The main purpose of this paper was to explore a practical technology for differentiating wetlands effectively from upland types in close proximity to them. In the paper, an integrated method, which combined per-pixel and per-field classification, was used for mapping wetlands of Hongze Lake and their neighboring upland types. Firstly, Landsat ETM+ imagery was segmented and classified by using spectral and textural features. Secondly, ETM+ spectral bands, textural features derived from ETM+ Pan imagery, relative relations between neighboring classes, shape features, and elevation were used in a decision tree classification. Thirdly, per-pixel classification results from the decision tree classifier were improved by using classification results from object-oriented classification as a context. The results show that the technology has not only overcome the salt-and-pepper effect commonly observed in the past studies, but also has improved the accuracy of identification by nearly 5%. |
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| Keywords: | rule-based inferring object-based classification freshwater lake wetland relation feature Hongze Lake |
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