STRUCTURAL CLASSIFICATION OF FOREST BY MEANS OF L-BAND TOMOGRAPHIC SAR

被引：0
|
作者：
Tello, Marivi [1 ]
Cazcarra-Bes, Victor [1 ]
Pardini, Matteo [1 ]
Papathanassiou, Kostas [1 ]
机构：
[1] Deutsch Zentrum Luft & Raumfahrt DLR, Cologne, Germany
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
Synthetic Aperture Radar; Tomography; Compressive Sensing; Forest Structure;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Synthetic Aperture Radar Tomography provides the 3D reflectivity of the observed scene. Hence, in a forest scenario, it reflects information relevant to forest structure. However, how and to which extent this information is reflected and which are possible ways to quantify it are still open questions. This paper explores the link between ecological measures of forest structure and the 3D spatial distribution of the peaks in the reflectivity profiles at L-band and, with this, proposes measures for forest structure estimation from tomographic SAR data.
引用
收藏
页码：5288 / 5291
页数：4
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