Use of Landsat TM image segmentation for smoothing ERS-1 SAR imagery in combined multi-sensor landscape classification

R.P.H.M. Schoenmakers, G. Wilkinson, T. Schouten
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引用次数: 1

Abstract

The combination of Landsat TM and ERS-1 SAR data can potentially lead to improved land cover mapping. Initially however SAR data must undergo speckle noise filtering. In southern Europe where land cover units are very small conventional filtering techniques can remove valuable information. The paper describes the potential use of segmentation of Landsat TM data to describe boundaries which can serve as a basis for SAR speckle noise filtering prior to incorporation in integrated multi-sensor classification.<>
利用Landsat TM图像分割平滑ERS-1 SAR图像进行多传感器景观分类
Landsat TM和ERS-1 SAR数据的结合可能会改善土地覆盖制图。然而,最初的SAR数据必须经过散斑噪声滤波。在土地覆盖单位非常小的南欧,传统的过滤技术可以去除有价值的信息。本文描述了Landsat TM数据分割的潜在用途,以描述边界,这些边界可以作为SAR散斑噪声滤波的基础,然后再纳入综合多传感器分类。
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