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Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments

机译:融合机载极化和干涉SAR,用于海岸环境分类

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摘要

AIRSAR and TOPSAR data were acquired over the wetlands of Bolivar Peninsula along the Gulf coast of Texas for mapping land cover types and topographic features such as beach ridges, dunes, and relict storm features. Classification of land cover over this wetlands and uplands environment is difficult because of the similarity of spectral signatures of the vegetation types. In addition, because the distribution of vegetation communities in coastal marshes is strongly related to salinity, which in turn is largely dictated by frequency and duration of inundation, surface topography is critical to determination of the vegetation characteristics at any location. The potential advantages of multisensor classification, including, in particular, topographic information from a TOPSAR DEM are investigated. An approach which employs a class dependent feature selection procedure in conjunction with pairwise Bayesian classifiers is proposed and applied to the polarimetric and interferometric SAR data.
机译:AIRSAR和TOPSAR数据是在得克萨斯州墨西哥湾沿岸的玻利瓦尔半岛湿地上采集的,用于绘制土地覆盖类型和地形特征(如海滩山脊,沙丘和残暴风暴特征)。由于植被类型的光谱特征相似,因此很难对该湿地和高地环境进行土地覆盖分类。此外,由于沿海沼泽地植被群落的分布与盐度密切相关,而盐度又主要由淹没的频率和持续时间决定,因此表面地形对于确定任何位置的植被特征至关重要。研究了多传感器分类的潜在优势,尤其是来自TOPSAR DEM的地形信息。提出了一种结合类对贝叶斯分类器采用与类相关的特征选择过程的方法,并将其应用于极化SAR和干涉SAR数据。

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