An Adaptive Volume Scattering Model for Fully Polarimetric Radarsat-2 Data

被引：0

作者：

Huang, Xiaodong ^{[1
]}

Wang, Jinfei ^{[1
]}

机构：

[1] Univ Western Ontario, Dept Geog, London, ON N6A 5C2, Canada

来源：

10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014) | 2014年

关键词：

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Most vegetation covers, such as crops, change with seasons, which result in different scattering mechanisms at different times. However, current volume scattering models can only characterize specific types of scattering mechanisms, which limit their applications. In this paper, we propose an adaptive volume scattering model based on an n-power sine probability density function that can be used to model vegetation that changes over time. To validate this model, multi-temporal fully polarimetric Radarsat-2 data in London, Ontario, Canada, are employed. Our results suggest that this adaptive volume scattering model is suitable to characterize vegetation that varies with time.

引用

页数：4

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