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Object-oriented Information Extraction of Wetland Vegetation Using Hyperspectral Image Data

CHAI Ying;  
In this paper,we mapped wetland vegetation with 3 m spatial resolution,126-band HyMap image data in California's SacramentoSan Joaquin delta.Based on spectral response curves analysis of typical wetland vegetation,the spectral response characteristics used for guiding object-oriented classification rules were extracted.The study shows that the classification accuracy of the objectoriented method based on spectral feature is about 88.03%,and the classification accuracy is about 72.08%in case it is not based on spectral characteristics.The result shows that the object-oriented classification method with spectral response characteristic extraction is effective in improving the accuracy of wetland vegetation classification and allowing for species-level detection necessary to map invasive species.
【Fund】: 中国科学院战略性先导科技专项资助项目(XDA05050106)
【CateGory Index】: P237
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