Extraction of typhoon-damaged forests from multi-temporal high-resolution polarimetric SAR images

Extraction of typhoon-damaged forests from multi-temporal high-resolution polarimetric SAR images
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DOI:
10.1109/igarss.2010.5653785
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发表时间:
2010-07
期刊:
2010 IEEE International Geoscience and Remote Sensing Symposium
影响因子:
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通讯作者:
Haipeng Wang;K. Ouchi;Yaqiu Jin
Haipeng Wang;K. Ouchi;Yaqiu Jin
中科院分区:
其他
文献类型:
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作者:
Haipeng Wang;K. Ouchi;Yaqiu Jin

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本研究旨在利用高分辨率极化合成孔径雷达(SAR)数据提取台风破坏的森林,并定量估计其破坏程度。研究区位于日本北海道的Tomakomai [1]-[4]。利用L波段3 m × 3 m分辨率(方位向4视)的机载Pi-SAR(Polarimetric-Interferometric SAR)在台风前后采集了两组数据。结果发现,台风破坏后,雷达散射截面(RCS)的平均值在整个图像上的变化分别为-0.47 dB,0.05 dB和0.64 dB的HH-,HV-和VV-极化与破坏前相比。为了充分利用这些数据,建立了交叉极化和共极化RCS变化线性组合的散射模型来估计损伤程度。类似的分析方法也适用于使用三组分分解分析。双散射、体积散射和表面散射机制在损伤后的RCS变化分别为27.5 dB、−0.20 dB和−20.3 dB。最后,将结果与地面测量数据进行比较,RCS和分解分析的准确度分别为64.1%和77.7%。
The purpose of this study is to extract the forests destroyed by typhoons and to quantitatively estimate the damage levels by using high-resolution polarimetric synthetic aperture radar (SAR) data. The study area is located in Tomakomai, Hokkaido, Japan [1]–[4]. Two sets of data were acquired before and after the typhoon by the L-band airborne Pi-SAR (Polarimetric-interferometric SAR) with 3m × 3m resolution (4-look in azimuth direction). It was found that the values of RCS (Radar Cross Section) averaged over the whole image after the typhoon damage changed by −0.47 dB, 0.05 dB, and 0.64 dB at HH-, HV-, and VV-polarization respectively in comparison with those before the damage. To fully utilize the data, a scattering model of the linear combination of the cross- and co-polarization RCS changes was developed to estimate the damage levels. Similar analytical approaches were also applied using the three-component decomposition analysis. The changes in RCS of double-, volume- and surfacescattering mechanisms after the damage were respectively 27.5 dB, −0.20 dB and −20.3 dB. Finally, by comparing the results with the ground survey data, the accuracies of 64.1% and 77.7% were obtained for the RCS and decomposition analyses respectively.