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Target decomposition analysis of SIR-C data to infer surface conditions

机译:将SiR-C数据的目标分解分析推断出表面条件

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SIR-C images taken over the Sarobetsu test site are analyzed using the target decomposition method to characterize the scattering mechanisms and relate them with the surface conditions. The scattering mechanisms assumed are double bounce scattering, Bragg scattering, odd bounce scattering, and cross scattering. The SIR-C data analyzed was taken on 10 April 1994 at the incident angle of 23.8 degrees. Two target areas (forest and pastureland) are extracted from the images, where in the former double bounce and cross scatterings must exceed the others, while in the latter odd bounce and/or Bragg scattering is expected to dominate, by referring to aerial photographs. The analysis results agree well with the expectations with one exception, i.e. the most significant mechanism in the forest is the odd bounce scattering. Analysis is made on two additional areas extracted from the mountain and the wildland, and it is confirmed that the former result is similar to that of the forest and the latter result agrees with that of the pastureland. It suggests the potential of the target decomposition method to infer surface conditions
机译:使用目标分解方法分析在Sarobetsu测试站点上拍摄的SiR-C图像,以表征散射机构并将其与表面条件相关联。假设的散射机构是双弹跳散射,布拉格散射,奇波散射和交叉散射。分析的SIR-C数据于1994年4月10日以23.8度的入射角拍摄。从图像中提取两个目标区域(森林和牧场),在前双反射和交叉散射中必须超过其他区域,而在后者奇怪的反弹和/或布拉格散射中,预计通过参考空中照片将占主导地位。分析结果与一个例外的期望吻合良好,即森林中最重要的机制是奇怪的反弹散射。分析是在山区和野外提取的两个其他区域进行的,并且确认前者结果与森林的结果类似,后者的结果与牧场的结果同意。它表明目标分解方法的潜力在推断表面条件下

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