Cognitive Themes Emerging from Air Photo Interpretation Texts Published to 1960

Cognitive Themes Emerging from Air Photo Interpretation Texts Published to 1960
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1960 年出版的航空照片解释文本中出现的认知主题

DOI:
10.3390/ijgi4020551
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发表时间:
2015
期刊:
ISPRS Int. J. Geo Inf.
影响因子:
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通讯作者:
A. MacEachren
A. MacEachren
中科院分区:
--
文献类型:
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作者:
Raechel A. Bianchetti;A. MacEachren

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遥感影像是解决一系列空间问题的重要信息来源。第一次世界大战期间,航空照片判读作为一门学科的出现,是为了响应开发一种系统的方法来分析侦察照片的需要。遥感研究的重点是开发自动图像分析方法,将焦点从人工判读过程转移开。然而,自动化方法远非完美,人工解释仍然是图像分析的重要组成部分。关于人类图像解释过程的一个重要信息来源是在该学科内编写的文本指南。这些早期的文本比最近的文本更强调解释过程的细节,人类在这个过程中的作用,以及所涉及的认知技能。在本研究中,我们使用内容分析来评估1922 - 1960年间出版的历史文本中航空照片解释的讨论。结果表明,这一时期的文本强调了感知线索与共同感兴趣的图像特征之间的关系,而对推理技能和知识的讨论则较少。该分析的结果提供了执行图像解释任务所需的专家图像技能框架。该框架对于通知执行分析的半自动化工具的设计是有用的。
Remotely sensed images are important sources of information for a range of spatial problems. Air photo interpretation emerged as a discipline in response to the need to develop a systematic method for analysis of reconnaissance photographs during World War I. Remote sensing research has focused on the development of automated methods of image analysis, shifting focus away from human interpretation processes. However, automated methods are far from perfect and human interpretation remains an important component of image analysis. One important source of information concerning human image interpretation process is textual guides written within the discipline. These early texts put more emphasis than more recent texts, on the details of the interpretation process, the role of the human in the process, and the cognitive skills involved. In the research reported here, we use content analysis to evaluate the discussion of air photo interpretation in historical texts published between 1922 and 1960. Results indicate that texts from this period emphasized the documentation of relationships between perceptual cues and images features of common interest while reasoning skill and knowledge were discussed less so. The results of this analysis provide a framework of expert image skills needed to perform image interpretation tasks. The framework is useful for informing the design of semi-automated tools for performing analysis.