| 污染误差模型下森林遥感影像测量数据偏差影响分析 |
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| 引用本文： | 倪飞,欧业宁. 污染误差模型下森林遥感影像测量数据偏差影响分析[J]. 测绘科学技术学报, 2021, 38(1): 44-49. DOI: 10.3969/j.issn.1673-6338.2021.01.008 |
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| 作者姓名： | 倪飞 欧业宁 |
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| 作者单位： | 江苏航运职业技术学院船舶与海洋工程学院,江苏南通 226010;北部湾大学资源与环境学院,广西钦州 535000 |
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| 基金项目： | 江苏省高校优秀科技创新团队项目(201749);2018年度中国交通教育研究会课题项目(1802192)。 |
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| 摘 要： | 针对森林遥感影像测量数据偏差产生的影响难以预估问题,构建污染误差模型对森林遥感影像测量数据偏差的影响因素进行分析.首先选择森林研究样本,利用遥感设备及其工作原理收集遥感影像测量数据,分析样本环境污染、光污染、信号污染3种影响因素,并将其设置为污染误差模型的输入项;其次将不同影响因素下输出的测量数据与真实数据进行计算,得...
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| 关 键 词： | 污染误差模型 森林影像 遥感影像 测量数据偏差 影响分析 |
Influence Analysis of Forest Remote Sensing Image Measurement Data Deviation under Pollution Error Model |
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| NI Fei,OU Yening. Influence Analysis of Forest Remote Sensing Image Measurement Data Deviation under Pollution Error Model[J]. Journal of Zhengzhou Institute of Surveying and Mapping, 2021, 38(1): 44-49. DOI: 10.3969/j.issn.1673-6338.2021.01.008 |
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| Authors: | NI Fei OU Yening |
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| Affiliation: | (Department of Ship and Marine Engineering, Jiangsu Shipping College, Nantong 226010, China;School of Resources and Environment, Beibu Gulf University, Qinzhou 535000, China) |
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| Abstract: | Aimed at the problem that it is difficult to predict the impact of forest remote sensing image measurement data deviation,a pollution error model is constructed to analyze the influential factors of forest remote sensing image measurement data deviation.Firstly,forest research samples are selected and remote sensing image measurement data are collected by using remote sensing equipment and its working principles.Three influential factors of sample environmental pollution,light pollution and signal pollution are collected and are set as input items of the pollution error model.Secondly,the measured data output and the real data are calculated under different influential factors to obtain the analysis result of the deviation of the measured data.The experiment shows that the average deviations of the data generated by the three different influential factors are 2.15,19.40 and 71.55 ha,respectively.The order of the influence of data deviation identified by longitudinal comparison as signal pollution is greater than light pollution,and light pollution is greater than environmental pollution of the measurement object.After horizontal comparison,the three pollution influential factors determined to be set are all negative factors. |
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| Keywords: | pollution error model forest imagery remote sensing images measurement data deviation impact analysis |
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