Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors
Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors
复制标题
遥感图像解译中操作员表现的变异性：人为和外部因素的重要性
DOI：
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
R. DE WULF
中科院分区：
文献类型：
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作者：
F. V. Van Coillie;Soetkin Gardin;F. Anseel;W. Duyck;L. Verbeke;R. DE WULF
本研究解决了遥感图像分析中一个常见但被低估的问题：不同操作人员之间的人为解释差异很大。尽管目前的技术进步，人类的感知和解释仍然是地图制作过程的重要组成部分。因此，人为错误会大大影响制图和建模结果。在我们的研究中，我们提出了一个基于网络的工具来量化操作人员的可变性，并确定影响这种可变性的人为因素和外部因素。给人类操作员一系列图像，并要求他们对不同的点、线和多边形对象进行手工数字化。性能可变性的量化是通过主题和位置精度测量来实现的。随后，研究人员询问了一系列与人口统计、经验和个性相关的问题，并对答案进行了量化。然后使用相关和回归分析来解释操作员绩效的可变性。从我们的研究中，我们得出结论：(1)人类的视觉解释很少是完美的；(2)部分地理对象数字化难度较大；(3)对相同对象进行手工数字化处理时，图像解译人员之间存在高度的差异；(4)经营者绩效主要受人口因素、非认知因素和认知人格因素的影响，外部因素和技术因素对经营者绩效的影响较小。最后，结果还表明，随着时间的推移，表现会逐渐下降，这与经典的精神疲劳效应相似。
This study tackles a common, yet underrated problem in remote-sensing image analysis: the fact that human interpretation is highly variable among different operators. Despite current technological advancements, human perception and interpretation are still vital components of the map-making process. Consequently, human errors can considerably bias both mapping and modelling results. In our study, we present a web-based tool to quantify operator variability and to identify the human and external factors affecting this variability. Human operators were given a series of images and were asked to hand-digitize different point, line, and polygon objects. The quantification of performance variability was achieved using both thematic and positional accuracy measures. Subsequently, a series of questions related to demographics, experience, and personality were asked, and the answers were also quantified. Correlation and regression analysis was then used to explain the variability in operator performance. From our study, we conclude that: (1) humans were seldom perfect in visual interpretation; (2) some geographic objects were more complex to accurately digitize than others; (3) there was a high degree of variability among image interpreters when hand-digitizing the same objects; and (4) operator performance was mainly determined by demographic, non-cognitive, and cognitive personality factors, whereas external and technical factors influenced operator performance to a lesser extent. Finally, the results also indicated a gradual decline in performance over time, mimicking classical mental fatigue effects.
DOI：
10.1016/j.ijrobp.2006.10.029
发表时间：
2007-03-15
影响因子：
7
作者：
Cooper, Jay S.;Mukherji, Suresh K.;Sicks, JoRean
通讯作者：
Sicks, JoRean