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基于地形因子分割、分类的面向对象滑坡快速识别方法

DOI: 10.13577/j.jnd.2015.0401, PP. 1-6

Keywords: 面向对象,基于地形因子的分割、分类方法,简易规则集

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Abstract:

由地震诱发的滑坡灾害具有数量多、分布面积广、危害大的特点。传统的高精度的专家手动解译不能满足大范围发生的滑坡灾后快速评估的要求,基于计算机的滑坡识别技术具有快速、准确的优势。随着灾后影像数据分辨率的不断提高,面向对象技术比基于像素的技术更具优势。但是在滑坡对象分割、分类中对影像光谱、纹理信息的过度依赖造成了分割不够客观、分类算法复杂等问题。基于震后Worldview2m分辨率的多光谱数据,提出了一种考虑地形因子的滑坡分割、分类算法。这种算法基于简单的规则集并充分考虑了滑坡发生的机理特点进行分割、分类,具有快速、简便的特点,而且能达到很高的分类精度(98.14%)。这种方法较以往仅考虑影像光谱、纹理信息的面向对象滑坡识别技术具有很大的提高,可以在实际灾害发生时用于大面积、大数量的山地滑坡灾害的快速损失评估。

References

[1]  许冲. 汶川地震滑坡详细编录及其与全球其他地震滑坡事件对比 [J]. 科技导报, 2012, 30(25):18-26. XU Chong. Detailed inventory of landslides triggered by the 2008 Wenchuan Earthquake and its comparison with other earthquake events in the world [J]. Science & Technology Review, 2012, 30(25): 18-26.(in Chinese)
[2]  殷跃平. 汶川八级地震滑坡特征分析 [J]. 工程地质学报, 2009,17(1):29-38. YIN Yueping. Features of landslides triggered by the Wenchuan Earthquake [J]. Journal of Engineering Geology, 2009, 17(1):29-38. (in Chinese)
[3]  崔鹏, 韦方强, 何思明, 等. 5? 12 汶川地震诱发的山地灾害及减灾措施 [J]. 山地学报, 2008, 26(3): 280-282. CUI Peng, WEI Fangqiang, HE Siming, et al. Mountain disasters induced by the earthquake of May 12 in Wenchuan and the disasters mitigation. Journal of Mountain Science, 2008, 26(3):280-282.(in Chinese)
[4]  HUANG Runqiu, FAN Xuanmei. The landslide story [J]. Nature Geoscience, 2013, 6(5): 325-326.
[5]  Tang, Chuan, ZHU Jing, DING Jun, et al. Catastrophic debris flows triggered by a 14 August 2010 rainfall at the epicenter of the Wenchuan earthquake [J]. Landslides, 2011, 8(4): 485-497.
[6]  TANG, Chuan, ZHU Jing, LI Weile, et al. Rainfall-triggered debris flows following the Wenchuan earthquake [J]. Bulletin of Engineering geology and the Environment, 2009, 68(2): 187-194.
[7]  王治华. 滑坡遥感调查, 监测与评估 [J]. 国土资源遥感, 2007, 19(1):10-15. WANG Zhihua. Remote sensing for landsalide survey, monitoring and evaluation [J]. Remote Sensing for Land & Resources, 2007, 19(1):10-15. (in Chinese)
[8]  王治华. 滑坡, 泥石流遥感回顾与新技术展望 [J]. 国土资源遥感, 1999, 11(3):1-22. WANG Zhihua. Reviewing and prospecting for applying remote sensing to landslide and debrisflow investigation [J]. Remote Sensing for Land & Resources, 1999, 11(3):1-22. (in Chinese)
[9]  ZHANG, Wenjiang, LIN Jiayuan, PENG Jian, et al. Estimating Wenchuan Earthquake induced landslides based on remote sensing [J]. International Journal of Remote Sensing, 2010, 31(13): 3495-3508.
[10]  杨文涛, 汪明, 史培军. 利用 NDVI 时间序列识别汶川地震滑坡的分布 [J]. 遥感信息, 2012, 27(6):45-56. YANG Wentao, WANG Ming, SHI Peijun. Identification of landslides in Wenchuan Earthquake affected region using NDVI time series [J]. Remote Sensing Information, 2012, 27(6): 45-56. (in Chinese)
[11]  李松, 李亦秋, 安裕伦. 基于变化检测的滑坡灾害自动识别 [J]. 遥感信息, 2010, 1: 23-31. LI Song, LI Yiqiu, AN Yulun. Automatic recognition of landslides based on change detection [J]. Remote Sensing Information, 2010, 1: 27-31. (in Chinese)
[12]  MARTHA, Tapas, KERLE, Norman, JETTEN Victor, et al. Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods [J]. Geomorphology, 2010, 116(1): 24-36.
[13]  胡德勇, 李京, 赵文吉, 等. 基于对象的高分辨率遥感图像滑坡检测方法 [J]. 自然灾害学报, 2009, 17(6): 42-46. HU Deyong, LI Jing, ZHAO Weiji, et al. Object-oriented landslide detection from remote sensing imageries with high resolution [J]. Journal of Natural Disasters, 2009, 17(6): 42-46. (in Chinese)
[14]  唐川, 李为乐, 丁军, 等. 汶川震区映秀镇"8? 14"特大泥石流灾害调查 [J]. 地球科学: 中国地质大学学报, 2011, 36(1): 172-180. TANG Chuan, LI Weile, DING Jun, et al. Field investigation and research on giant debris flow on august 14, 2010 in Yingxiu Town, epicenter of Wenchuan Earthquake [J]. Earth Science- Journal of China University of Geosciences, 2011, 36(1): 172-180. (in Chinese)
[15]  GAO Bocai. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space [J]. Remote Sensing of Environment, 1996, 58(3): 257-266.
[16]  XU Hanqiu. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery [J]. International Journal of Remote Sensing, 2006, 27(14): 3025-3033.

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