| 基于缨帽变换的农田洪水淹没范围遥感信息提取 |
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| 引用本文： | 陈超,何新月,傅姣琪,褚衍丽.基于缨帽变换的农田洪水淹没范围遥感信息提取[J].武汉大学学报(信息科学版),2019,44(10):1560-1566. |
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| 作者姓名： | 陈超 何新月 傅姣琪 褚衍丽 |
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| 作者单位： | 1.浙江海洋大学海洋科学与技术学院, 浙江 舟山, 316022 |
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| 基金项目： | 国家自然科学基金41701447浙江省省属高校科研院所基本科研业务费专项资金2019J00003 |
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| 摘 要： | 针对灾后水中悬浮物质增多和高含水量农作物导致常规水体信息提取方法精度较低的问题，提出了一种基于缨帽变换的农田洪水淹没范围遥感信息提取方法。首先，对灾前、灾后遥感图像进行辐射定标和大气校正。其次，通过缨帽变换获取绿度分量和湿度分量；然后，利用最大类间方差法对湿度分量进行分割，结合绿度分量提取水体信息；最后，叠加农田矢量数据，确定农田洪水淹没范围。以湖南省岳阳市及其附近区域为研究区，从定性和定量两个方面对方法进行精度评价。结果表明，该方法所得结果边界清晰，范围准确，生产者精度和用户精度分别为0.97和0.90。该研究能够为农田灾损评估、洪涝灾害动态监测提供参考。
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| 关 键 词： | 缨帽变换 洪水 淹没范围 农田 精度评价 |
| 收稿时间： | 2018-07-12 |
A Method of Flood Submerging Area Extraction for Farmland Based on Tasseled Cap Transformation from Remote Sensing Images |
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| Affiliation: | 1.Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China2.School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China |
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| Abstract: | After the disaster, the increase of suspended matter in water and the high water content crops will lead to the low accuracy of conventional methods of water body information extraction. In response to this problem, a new method of extracting flood submerging area for farmland based on tasseled cap transformation is presented in this paper. First, the remote sensing images before and after disaster are pre-processed by radiometric calibration and atmospheric correction. Then, the tasseled cap transformation is performed based on the coefficients corresponding to the sensor to obtain the greenness component and the wetness component. Third, the wetness component is divided by the OTSU method, and combined with the greenness component to obtain the warterbody information. Finally, the spatial overlay analysis of the waterbody information and farmland vector data is carried out to extract the flood submerging area for farmland. Taking Yueyang City of Hunan Province and its vicinity as research area, the accuracy of the proposed method is evaluated both qualitatively and quantitatively to verify the validity and applicability of the method. The results shows that the boundary of flood submerging area for farmland is clear, the range is more accurate, and the producer's accuracy and the user's accuracy are 0.97 and 0.90, respectively. This paper provides references for agricultural risk evaluation and dynamic monitoring of flood disaster. |
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