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世界地质 2021, 40(2) 445-452 DOI: ISSN: 1004-5589 CN: 22-1111/P

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	本文关键词相关文章
	遥感
	水体动态变化
	因子分析
	多时相数据
	多元统计
	桃林口水库
	秦皇岛
	本文作者相关文章
	崔名赫
	潘军
	蒋立军
	刘祉余
	许鹤
	麻洪川
	PubMed
	Article by Cui M
	Article by Pan J
	Article by Jiang L
	Article by Liu Z
	Article by Xu H
	Article by Ma H

水体动态变化信息遥感监测方法研究:以秦皇岛桃林口水库为例

崔名赫，潘军，蒋立军，刘祉余，许鹤，麻洪川

1. 吉林大学地球探测科学与技术学院，长春130026; 2. 中国人民解放军31441 部队，沈阳110001; 3. 长春建筑学院交通学院，长春130699; 4. 中国人民解放军31009 部队，北京100088

摘要：对水体变化信息的监测，是合理开发、利用和保护水资源的重要依据。笔者设计了一种以因子分析为理论手段，通过分析多时相遥感数据中波段序列，得出水体动态变化信息的遥感监测方法。以秦皇岛桃林口水库水位下降为例，在参考“地物波谱特性时相变化曲线”的基础上，统计了研究区内各地物类型的光谱特征变化，采用因子分析的多元统计分析方法进行定量分析，并利用方差分析方法对各因子提取水体变化信息的动态识别能力进行显著性检验，确定出能够准确表达水体变化信息的因子，根据水体变化因子构建水体变化识别指数，从而得出研究区内的水体动态变化信息。实验结果表明，在信度α = 0. 05 下，水体变化信息与其他地物变化信息在水体变化因子上的差异性最显著，基于因子分析得到的水体变化识别指数能够准确识别研究区内的水体，并且误检区域较少，对水体变化类型的分类精度达到96. 8%，说明本文方法是一种精度较高，能够有效识别水体动态变化的监测方法。

关键词：遥感水体动态变化因子分析多时相数据多元统计桃林口水库秦皇岛

Ｒesearch on remote sensing monitoring method of water dynamic change information: a case study of Taolinkou reservoir in Qinhuangdao City

CUI Ming-he，PAN Jun，JIANG Li-jun，LIU Zhi-yu，XU He，MA Hong-chuan

1. College of Geo-exploration Science and Technology，Jilin University，Changchun 130026，China; 2. 31441 PLA Troops，Shenyang 110001，China; 3. College of Transportation，Changchun University of Architecture and Civil Engineering，Changchun 130699 China; 4. 31009 PLA Troops，Beijing 100088，China

Abstract: The monitoring of water body change information is an important basis for the rational development， utilization and protection of water resources． The authors design a remote sensing monitoring method that uses factor analysis as a theoretical method to analyze the band sequence in multi-temporal remote sensing data to obtain dynamic change information of water body． Taking the water level drawdown of Taolinkou reservoir in QinhuangdaoCity as an example，and referencing to the“spectral characteristic time-phase change curves of ground object”，the changes in the spectral characteristics of various types of ground object in the study area were counted，and the factor analysis method of multivariate statistics analysis was used for quantitative analysis． Moreover，variance analysis method was used to test the significance of the dynamic recognition ability of each factor in extracting water body change information，factors that can accurately express the water body change information were then determined， and the water body change recognition index was constructed based on the water body change factor，so as to the dynamic change information of water body in the study area was obtained． The experimental results show that，under the reliability of 0. 05，there was a significant correlation between the water body change information and other ground object change information on the water body change factor，the water body change identification index based on factor analysis can accurately identify the water body in the study area，and there are fewer false detection areas，and the classification accuracy of water body change types reaches 96. 8% it shows that the method in this paper is a high-precision monitoring method that can effectively identify the dynamic changes of water body．

Keywords: remote sensing dynamic changes of water body factor analysis multi-temporal data multivariate statistics Taolinkou reservoir Qinhuangdao City

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