Detection and Characterization of Hedgerows Using TerraSAR-X Imagery
Detection and Characterization of Hedgerows Using TerraSAR-X Imagery
复制标题
使用 TerraSAR-X 图像检测和表征树篱
DOI：
10.3390/rs6053752
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
L. Hubert‐Moy
中科院分区：
文献类型：
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作者：
J. Betbeder;Jean Nabucet;E. Pottier;J. Baudry;S. Corgne;L. Hubert‐Moy
虽然大多数绿篱功能取决于绿篱结构和绿篱网络模式，在许多生态研究的信息绿篱网络和冠层结构的碎片往往是在现场检索在小面积使用精确的地面调查和估计的景观在半定量的方式。本文探讨了使用雷达SAR图像（一）检测绿篱网络;（二）描述绿篱冠层异质性使用TerraSAR-X图像。绿篱网络的提取实现了使用面向对象的方法，使用两个极化参数：来自一个TerraSAR-X图像的单次反弹和香农熵。从实地测量的绿篱冠层异质性估计进行了比较，两个后向散射系数和三个偏振参数来自同一图像。结果表明，绿篱网络及其破碎化可以识别具有很好的精度（Kappa指数：0.92）。这项研究还揭示了一个极化参数，香农熵，和在现场测量的冠层破碎度之间的高度相关性。因此，VHSR雷达图像既可以精确地检测到树木篱网络的存在，并表征其结构，这是光学图像无法实现的。
Whilst most hedgerow functions depend upon hedgerow structure and hedgerow network patterns, in many ecological studies information on the fragmentation of hedgerows network and canopy structure is often retrieved in the field in small areas using accurate ground surveys and estimated over landscapes in a semi-quantitative manner. This paper explores the use of radar SAR imagery to (i) detect hedgerow networks; and (ii) describe the hedgerow canopy heterogeneity using TerraSAR-X imagery. The extraction of hedgerow networks was achieved using an object-oriented method using two polarimetric parameters: the Single Bounce and the Shannon Entropy derived from one TerraSAR-X image. The hedgerow canopy heterogeneity estimated from field measurements was compared with two backscattering coefficients and three polarimetric parameters derived from the same image. The results show that the hedgerow network and its fragmentation can be identified with a very good accuracy (Kappa index: 0.92). This study also reveals the high correlation between one polarimetric parameter, the Shannon entropy, and the canopy fragmentation measured in the field. Therefore, VHSR radar images can both precisely detect the presence of wooded hedgerow networks and characterize their structure, which cannot be achieved with optical images.