| 利用能量因子进行DEM升尺度转换精度评价 |
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| 引用本文： | 郝大磊,闻建光,肖青,游冬琴,吴小丹,林兴稳,吴胜标.利用能量因子进行DEM升尺度转换精度评价[J].武汉大学学报(信息科学版),2019,44(4):570-577. |
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| 作者姓名： | 郝大磊 闻建光 肖青 游冬琴 吴小丹 林兴稳 吴胜标 |
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| 作者单位： | 1.中国科学院遥感与数字地球研究所遥感科学国家重点实验室, 北京, 100101 |
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| 基金项目： | 国家自然科学基金41671366国家自然科学基金41601380国家自然科学基金41671363 |
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| 摘 要： | 全面评价数字高程模型（digital elevation model，DEM）升尺度转换方法的精度，有助于合理选择DEM升尺度转换方法，掌握DEM尺度转换规律及构建新的DEM升尺度转换模型。然而目前关于DEM精度评价的研究成果还难以达到实际应用的要求，从全新的视角寻找客观、高效的DEM升尺度转换结果的精度评价方法仍有待研究。基于地球表面接收太阳辐射的分布特性，提出基于能量因子的DEM精度评价方法，应用于不同DEM升尺度转换方法的精度评价中。基于现有的精度评定与质量评价方法，构建定性与定量分析相结合的综合评价方法，以验证基于能量因子的精度评价方法的合理性和有效性。实验结果表明，基于能量因子的精度评价方法原理简单、操作方便，能够反映升尺度转换后DEM地形空间遮蔽关系的变化情况。该方法为DEM升尺度转换结果的精度评价提供了新的思路和方向，对DEM在定量遥感建模与山区地表生态参量反演等方面的应用具有一定的借鉴意义。
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| 关 键 词： | 数字高程模型 升尺度转换 精度评价 能量因子 遮蔽因子 天空可见因子 遥感建模 |
| 收稿时间： | 2017-05-08 |
An Accuracy Assessment Method for DEM Upscaling Based on Energy Factor |
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| Affiliation: | 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China2.University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Comprehensively evaluating the accuracy of the digital elevation model (DEM) upscaling methods is significant for us to choose the DEM upscaling method reasonably, master the DEM upscaling law, and construct a new DEM upscaling model. However, the current researches on DEM accuracy evaluation are still not sufficient to meet the requirements of practical applications. In this paper, an accuracy assessment method for DEM based on energy factor is proposed and then is applied to the accuracy assessment of different DEM upscaling methods. A comprehensive evaluation strategy combining qualitative and quantitative accuracy assessment and quality evaluation methods is constructed to verify the rationality and effectiveness of the assessment strategy based on energy factor. The experimental results show that the accuracy assessment method based on energy factor is simple in theory and is easy to operate in practice. It can reflect the retention characteristics of the terrain masking relationship of the upscaling methods, whereas the traditional precision evaluation strategy cannot reflect them directly. This accuracy assessment framework also provides a new and valuable standard for choosing the DEM upscaling methods, and puts forward new design requirements for the DEM upscaling methods. It also has great influence on remote sensing modeling and inversion. |
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