Name: Interpreting Remote Sensing Imagery: Human Factors (en Inglés)
Price: 73270.00 CLP
Availability: InStock
Author: Robert R. Hoffman (Editor), Arthur B. Markman (Editor)
ISBN: 9780367455347

portada Interpreting Remote Sensing Imagery: Human Factors (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Robert R. Hoffman (Editor), Arthur B. Markman (Editor)

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Blanda

ISBN13

9780367455347

N° edición

Interpreting Remote Sensing Imagery: Human Factors (en Inglés)

Robert R. Hoffman (Editor), Arthur B. Markman (Editor) (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Interpreting Remote Sensing Imagery: Human Factors (en Inglés)"

No matter how advanced the technology, there is always the human factor involved - the power behind the technology. Interpreting Remote Sensing Imagery: Human Factors draws together leading psychologists, remote sensing scientists, and government and industry scientists to consider the factors involved in expertise and perceptual skill.This book covers the cognitive issues of learning, perception, and expertise, the applied issues of display design, interface design, software design, and mental workload issues, and the practitioner's issues of workstation design, human performance, and training. It tackles the intangibles of data interpretation, based on information from experts who do the job. You will learn: Information and perceptionWhat do experts perceive in remote sensing and cartographic displays? Reasoning and perceptionHow do experts "see through" the data display to understand its meaning and significance?Human-computer interactionHow do experts work with their displays and what happens when the "fiddle" with them? Learning and trainingWhat are the milestones in training development from novice to expert image interpreter?Interpreting Remote Sensing Imagery: Human Factors breaks down the mystery of what experts do when they interpret data, how they learn, and what individual factors speed or impede training. Even more importantly, it gives you the tools to train efficiently and understand how the human factor impacts data interpretation.