Reconstructing 3D images

Scarmana, Gabriel and Fryer, John (2003) Reconstructing 3D images. Position Magazine (6). pp. 63-65. ISSN 1447-2635


For photogrammetric applications that demand highly detailed images, it is often neither feasible nor even possible to acquire high resolution images by simply using precision optics and/or digital devices. Image processing methods such as super-resolution may have to be used to enhance lower resolution images so that they can meet accuracy requirements. 'Super-resolution' is a term given to a single image product that has been produced by combining a number of images of the same scene, using algorithms that increase spatial resolution.

Statistics for USQ ePrint 43504
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 08 Sep 2021 00:23
Last Modified: 05 Oct 2021 05:04
Uncontrolled Keywords: image processing; photogrammetry; digital elevation models
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401399 Geomatic engineering not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering

Actions (login required)

View Item Archive Repository Staff Only