Multisensor remote sensing information fusion for urban area classification and change detection

Gintautas Palubinskas; Aliaksei Makarau; Peter Reinartz

doi:10.1117/12.883767

6 June 2011 Multisensor remote sensing information fusion for urban area classification and change detection

Gintautas Palubinskas, Aliaksei Makarau, Peter Reinartz

Proceedings Volume 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011; 80640F (2011) https://doi.org/10.1117/12.883767
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and radar data fusion. This acquisition geometry allows to minimize displacement effects due inaccuracy of Digital Elevation Model (DEM) used for data ortho-rectification and existence of unknown 3D structures in a scene. Final data spatial alignment is performed by recently proposed co-registration method based on a Mutual Information measure. For a combination of features originating from different sources, which are quite often noncommensurable, we propose an information fusion framework called INFOFUSE consisting of three main processing steps: feature fission (feature extraction aiming at complete description of a scene), unsupervised clustering (complexity reduction and feature representation in a common dictionary) and supervised classification realized by Bayesian or Neural networks. An example of urban area classification is presented for the orthogonal acquisition of space borne very high resolution WorldView-2 and TerraSAR-X Spotlight imagery over Munich city, South Germany. Experimental results confirm our approach and show a great potential also for other applications such as change detection.

Citation Download Citation

Gintautas Palubinskas, Aliaksei Makarau, and Peter Reinartz "Multisensor remote sensing information fusion for urban area classification and change detection", Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 80640F (6 June 2011); https://doi.org/10.1117/12.883767

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