Vegetation Classification of Lianyungang Coastal Wetland Based on GF-2 Satellite Images
This paper selects the Linhong estuary wetland and Liezi estuary wetland of Lianyungang coastal zone as the research area.Using GF-2 satellite images as data source,after geometric correction and atmospheric correction,image fusion is performed by Gram-Schmidt algorithm;based on object-oriented method,random forest and nearest neighbor method are used to classify fusion images.The results show that GF-2 satellite images can better reflect the spectral and spatial characteristics of coastal wetland vegetation in different phases,and the vegetation types of coastal wetland can be well classified by using random forest algorithm combined with spectral and spatial structure characteristics.The temporal characteristics and spatial structure of images obviously affect the accuracy of vegetation classification.
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