Multispectral change detection

Tamar Peli; Mon Young; Kenneth K. Ellis

doi:10.1117/12.280593

4 August 1997 Multispectral change detection

Tamar Peli, Mon Young, Kenneth K. Ellis

Proceedings Volume 3071, Algorithms for Multispectral and Hyperspectral Imagery III; (1997) https://doi.org/10.1117/12.280593
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

A novel automatic change detection procedure has been developed using multi-spectral imagery for a number of important applications including the surveillance of enemy military installations, detection of military vehicle movements, battle damage assessments and monitoring of environmental changes. The proposed approach consists of key algorithm components that includes data normalization, image registration and distance measurement. The algorithm is selected based on performance and computational considerations for near real-time implementation. Limited study on real multi-spectral data has shown that the performance of our proposed change detection approach is far superior to that of standard techniques. Example results using M7 imagery are presented to illustrate the performance improvements of this approach over the other techniques.

Citation Download Citation

Tamar Peli, Mon Young, and Kenneth K. Ellis "Multispectral change detection", Proc. SPIE 3071, Algorithms for Multispectral and Hyperspectral Imagery III, (4 August 1997); https://doi.org/10.1117/12.280593

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