近景摄影测量提高裸露地表粗糙度测量精度

发布时间：2018-05-16 08:06

本文选题：遥感 + 粗糙度　；参考：《农业工程学报》2017年15期

【摘要】：微波遥感观测量对地表参数敏感,可用于对土壤水分、地表粗糙度和植被信息的定量提取。地表粗糙度参数实测值,是遥感反演结果验证、精度评价,以及各类遥感反演算法中的重要参量,但一直缺少一种简便、快捷、高精度的获取手段。该研究将近景摄影测量方法和微波遥感领域传统地表粗糙度测量的针板法进行对比,分析2种方法均方根高度及相关长度的测量结果,表明近景摄影测量法可以有效提高粗糙度实地测量精度;以近景摄影测量法全角度粗糙度参数的均值作为实测真实值,表明传统针板法测量的均方根高度误差达到12%~35.1%,相关长度误差最大能达到19.6%~62.4%;分析了采样间隔和采样数目对粗糙度测量的影响,表明针板法采用1 cm的间隔是实际地表较好的选择,但仅采用2个方向均值的测量方法必然带来很大误差,同时得出测量次数大于12时,测量结果趋于稳定并可认定为真值的结论;此外,研究表明,在一些传统针板法无法提取粗糙度的情况,近景摄影测量法依然有效。该研究表明,近景摄影测量法的非接触式、高精度、采样间隔及采样频率可调节等特征,为微波遥感工作提供了有效的地表粗糙度地面实测手段。
[Abstract]:Microwave remote sensing observations are sensitive to surface parameters and can be used for quantitative extraction of soil moisture, surface roughness and vegetation information. The measured values of surface roughness parameters are important parameters in remote sensing inversion results verification, precision evaluation and various remote sensing inversion algorithms, but there is a lack of a simple, fast and high precision method to obtain them. In this study, the close range photogrammetry method is compared with the traditional surface roughness measurement method in the field of microwave remote sensing. The results of the measurement of the root mean square height and the relative length of the two methods are analyzed. The results show that close-range photogrammetry can effectively improve the precision of roughness field measurement, and take the mean value of all angle roughness parameters of close-range photogrammetry as the real value. The results show that the root mean square height error measured by traditional needle-plate method is 123.51, and the maximum relative length error can reach 19.62.4.The effects of sampling interval and sampling number on roughness measurement are analyzed, and it is shown that the interval of 1 cm is a good choice for the actual surface. However, the measurement method with only two directional mean values will inevitably bring about great error. At the same time, it can be concluded that the measurement times are greater than 12:00, and the measured results tend to be stable and can be recognized as true values. In addition, the study shows that, The close-range photogrammetry is still effective in some cases where the roughness can not be extracted by the traditional needle-plate method. The study shows that the characteristics of close-range photogrammetry are non-contact, high precision, adjustable sampling interval and sampling frequency, which provides an effective ground roughness measurement method for microwave remote sensing.
【作者单位】：西安科技大学测绘科学与技术学院;中国科学院遥感与数字地球研究所航空遥感中心;
【基金】：国家重点研发计划项目(2016YFC1401006) 国家自然科学青年基金(41601371) 高分辨率对地观测系统重大专项(民用部分,03-Y20A11-9001-15/16)
【分类号】：P234.1

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