Change Detection In Monochromatic Imagery

Larry S. Davis; David A. Harwood; Ling Tony Chen; Diane Hsu

doi:10.1117/12.969315

21 March 1989 Change Detection In Monochromatic Imagery

Larry S. Davis, David A. Harwood, Ling Tony Chen, Diane Hsu

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969315
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

An important application of vision in aerial reconnaissance is the detection and classification of changes between images of the same scene taken at different times. There are a variety of factors that make this an exceedingly difficult problem: 1) The images are ordinarily taken from (slightly) different vantage points. If the images are taken at sufficiently high altitudes, then the images can, in principle, be registered by a single global coordinate transformation. Otherwise (and this is often the case) the images must be treated as a stereo pair, and the corresponding disparity field must be computed in order for the images to be compared.

Citation Download Citation

Larry S. Davis, David A. Harwood, Ling Tony Chen, and Diane Hsu "Change Detection In Monochromatic Imagery", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969315

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available