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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >PolSAR Mosaic Normalization for Improved Land-Cover Mapping
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PolSAR Mosaic Normalization for Improved Land-Cover Mapping

机译:用于改进的土地覆被制图的PolSAR镶嵌标准化

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摘要

This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in considerable radiometric differences between mosaiced scenes originating at different dates. Several variants of polarimetric seam hiding between the original PolSAR images were proposed and evaluated in order to effectively eliminate stripes in the mosaic. The impact of such seam-hiding procedure on PolSAR classification performance was studied, along with the technical aspects of producing the PolSAR mosaic. The obtained results indicate the advantages of the considered seam-hiding procedures for producing homogeneous mosaics and obtaining consistent classification results in a single classification step.
机译:这封信描述了使用多时相高级陆地观测卫星相控阵型L波段SAR采集来生产大规模全极化合成孔径雷达(SAR)(PolSAR)马赛克的算法开发。 PolSAR数据是在2007年芬兰拉普兰地区融雪季节收集的,因此在不同日期产生的镶嵌场景之间存在相当大的辐射差异。提出并评估了原始PolSAR图像之间隐藏的极化接缝的几种变体,以有效消除马赛克中的条纹。研究了这种接缝隐藏程序对PolSAR分类性能的影响,以及生产PolSAR镶嵌图的技术方面。获得的结果表明了考虑的接缝隐藏程序的优势,这些程序可在单个分类步骤中产生均匀的镶嵌图并获得一致的分类结果。

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