سابِق|تال

Construction and application of knowledge decision tree after a disaster for water body information extraction from remote sensing images

  • role： First author第一作者
  • Affiliation：

    College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan 316022, China

  • Email：chenchao@zjou.edu.cn
  • Introduction：陈超，1982年生，男，讲师，研究方向为高分辨率遥感图像处理。E-mail：chenchao@zjou.edu.cn
Chao CHEN1,  
  • Affiliation：

    College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan 316022, China

Jiaoqi FU1,  
  • role： Corresponding author通信作者
  • Affiliation：

    China Aero-geophysical Survey and Remote Sensing Center for Land Resources, Beijing 100083, China

  • Email：sxx5666@163.com
  • Introduction：随欣欣，1983年生，高级工程师，研究方向为遥感技术应用。E-mail：sxx5666@163.com
Xinxin SUI2*,  
  • Affiliation：

    College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan 316022, China

Xu LU1,  
  • Affiliation：

    College of Mathematics, Physics and Information, Zhejiang Ocean University, Zhoushan 316022, China

Anhui TAN3

ملخص

After a disaster, the same object with different spectra (such as suspended material, wave, and water depth, each of them having more than one spectrum) leads to incomplete extraction of water body information. Different objects with the same spectrum, such as shadow, asphalt pavement, and dense vegetation, decrease the extraction precision of water body information. To address this problem, the extraction method of water body information based on its characteristics after a disaster is presented in this study. First, the characteristics (i.e., spectra, geometry, texture, and spatial relationship) of water body information are analyzed on remote sensing images to construct a knowledge decision tree. Second, object-oriented segmentation is performed on remote sensing images to obtain object elements and calculate the characteristic parameters. Third, water body information after a disaster is extracted with the support of the knowledge decision tree. Finally, the water body information is post-processed. A validation experiment was performed using the high-spatial resolution remote sensing images of “5.12 Wenchuan Earthquake.” The location of the extracted water is accurate and the boundary is clear. The accuracies of the producer and the user are 0.85 and 0.94, respectively. Results showed that the method can effectively extract water body information after a disaster even when the background is complex.

مفهوم

characteristic knowledge;decision tree;Wenchuan earthquake;water body information extraction after disaster;accuracy evaluation

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