Seeing Like a Rover: How Robots, Teams, and Images Craft Knowledge of Mars

University of Chicago Press
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In the years since the Mars Exploration Rover Spirit and Opportunity first began transmitting images from the surface of Mars, we have become familiar with the harsh, rocky, rusty-red Martian landscape. But those images are much less straightforward than they may seem to a layperson: each one is the result of a complicated set of decisions and processes involving the large team behind the Rovers.

With Seeing Like a Rover, Janet Vertesi takes us behind the scenes to reveal the work that goes into creating our knowledge of Mars. Every photograph that the Rovers take, she shows, must be processed, manipulated, and interpreted—and all that comes after team members negotiate with each other about what they should even be taking photographs of in the first place. Vertesi’s account of the inspiringly successful Rover project reveals science in action, a world where digital processing uncovers scientific truths, where images are used to craft consensus, and where team members develop an uncanny intimacy with the sensory apparatus of a robot that is millions of miles away. Ultimately, Vertesi shows, every image taken by the Mars Rovers is not merely a picture of Mars—it’s a portrait of the whole Rover team, as well.
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About the author

Janet Vertesi is assistant professor of sociology at Princeton University.
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Additional Information

Publisher
University of Chicago Press
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Published on
Apr 22, 2015
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Pages
304
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ISBN
9780226156019
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Language
English
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Genres
Science / General
Science / History
Science / Space Science
Social Science / Sociology / General
Technology & Engineering / History
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This content is DRM protected.
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The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis

Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration.

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Contributors
Morana Alac, Michael Barany, Anne Beaulieu, Annamaria Carusi, Catelijne Coopmans, Lorraine Daston, Sarah de Rijcke, Joseph Dumit, Emma Frow, Yann Giraud, Aud Sissel Hoel, Martin Kemp, Bruno Latour, John Law, Michael Lynch, Donald MacKenzie, Cyrus Mody, Natasha Myers, Rachel Prentice, Arie Rip, Martin Ruivenkamp, Lucy Suchman, Janet Vertesi, Steve Woolgar

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