Automated spatiotemporal change detection in digital aerial imagery

Peggy Agouris; Giorgos Mountrakis; Anthony Stefanidis

doi:10.1117/12.394101

27 July 2000 Automated spatiotemporal change detection in digital aerial imagery

Peggy Agouris, Giorgos Mountrakis, Anthony Stefanidis

Proceedings Volume 4054, Automated Geo-Spatial Image and Data Exploitation; (2000) https://doi.org/10.1117/12.394101
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Handling change within integrated geospatial environments is a challenge of dual nature. It comprises automatic change detection, and the fundamental issue of modeling/representing change. In this paper we present a novel approach for automated change detection which allows us to handle change more efficiently than commonly available approaches. More specifically, we focus on the detection of building boundary changes within a spatiotemporal GIS environment. We have developed a novel approach, as an extension of least-squares based matching. Previous spatial states of an object are compared to its current representation in a digital image, and decisions are automatically made as to whether or not change at the outline has occurred. Older object information is used to produce templates for comparison with the representation of the same object in a newer image. Semantic information extracted through an analysis of template edge geometry, and estimates of accuracy are used to enhance our model. This template matching approach allows us to integrate in a single operation object extraction from digital imagery with change detection. By decomposing a complete outline into smaller elements and applying template matching along these locations we are able to detect precisely even small changes in building outlines. In this paper we present an overview of our approach, theoretical models, certain implementation issues like template selection and weight coefficient assignment, and experimental results.

Citation Download Citation

Peggy Agouris, Giorgos Mountrakis, and Anthony Stefanidis "Automated spatiotemporal change detection in digital aerial imagery", Proc. SPIE 4054, Automated Geo-Spatial Image and Data Exploitation, (27 July 2000); https://doi.org/10.1117/12.394101

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