传感与人为因素研究综述

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Raechel A. Portelli, P. Pope
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引用次数: 0

摘要

计算地球观测的成功离不开人类专家。他们执行各种视觉决策任务,从选择数据和训练机器学习算法到解释准确性和可信度。在对地观测和军事领域,对影响性能的各种人为因素的研究有着悠久的历史。分析环境从模拟到数字工作空间的转变需要持续的研究,重点是人在循环处理。本文回顾了遥感领域中人为因素研究的历史,并提出了一个框架,以重新聚焦该学科的努力,以理解人类在地球观测中所扮演的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensing and Human Factors Research: A Review
Human experts are integral to the success of computational earth observation. They perform various visual decision-making tasks, from selecting data and training machine-learning algorithms to interpreting accuracy and credibility. Research concerning the various human factors which affect performance has a long history within the fields of earth observation and the military. Shifts in the analytical environment from analog to digital workspaces necessitate continued research, focusing on human-in-the-loop processing. This article reviews the history of human-factors research within the field of remote sensing and suggests a framework for refocusing the discipline's efforts to understand the role that humans play in earth observation.
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来源期刊
Photogrammetric Engineering and Remote Sensing
Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术
CiteScore
1.70
自引率
15.40%
发文量
89
审稿时长
9 months
期刊介绍: Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.
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