| 高分一号遥感影像地质灾害信息提取方法研究 |
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| 引用本文： | 李启源,王明常,王凤艳,谭洋,卢立吉.高分一号遥感影像地质灾害信息提取方法研究[J].测绘与空间地理信息,2016(2):17-20. |
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| 作者姓名： | 李启源 王明常 王凤艳 谭洋 卢立吉 |
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| 作者单位： | 吉林大学地球探测科学与技术学院,吉林长春,130026 |
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| 基金项目： | 国家自然科学基金(41472243，41072196) |
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| 摘 要： | 山区地质灾害发生频繁,受灾范围大,危害严重。提取地质灾害信息、估算受灾情况,对救灾工作极为重要。传统的遥感人工解译方法速度慢、效率低;计算机自动解译速度快但解译精度受影像质量影响大,大范围地区很难建立起普适性的解译模型。本文利用洮南市西部高分一号遥感数据,结合DEM生成三维影像,建立解译标志,解译基础地质信息,分析地质灾害成因;根据研究区泥石流地质灾害的主要影像特征,提取影像的分类属性,基于面向对象的分类方法,建立信息提取模型,快速提取出地质灾害敏感区域;再进行人机交互,精确提取出地质灾害的类型和范围,通过野外验证,该方法十分可靠,为大范围地质灾害信息快速提取和灾后救援提供科学依据。
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| 关 键 词： | 高分一号 遥感影像 地质灾害 面向对象 人机交互 |
Research on the Geological Disasters Information Extraction Method in GF-1 Remote Sensing Image |
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| Abstract: | Common geological disasters occur frequently in the mountains, range of them is large and the harm is particularly serious. Extracting information on geological disasters and estimating the disaster situation is extremely important for the relief work.The meth-od of traditional manual interpretation is slow, low efficiency; Though the computer automatic interpretation is fast, quality of image affects large to the interpretation accuracy, large area is difficult to establish a universal model of interpretation.In this paper, the au-thor uses GF-1 remote sensing data in the west of Taonan, establishing three-dimensional images and interpretation signs, interpre-tating basic geological information and analyzing the causes of geological disasters combining with DEM;According to the main image features of debris flow of geological disasters in the study area, we can extract the classified properties of the image, based on the ob-ject-oriented classification methods,establish information extraction model, first we have to extract the sensitive area of geological disasters quickly, then human machine interaction, accurately extract the type and scope of geological disasters,through field verifica-tion, verify the reliability of the method, and provide a scientific basis for fast extraction in a large area of geological disasters informa-tion and post-disaster relief. |
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| Keywords: | GF-1 remote sensing image geological disasters object oriented human machine interaction |
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