Cross-sensor image fusion and spectral anomaly detection

Mark J. Carlotto

doi:10.1117/12.477626

31 July 2002 Cross-sensor image fusion and spectral anomaly detection

Mark J. Carlotto

Proceedings Volume 4729, Signal Processing, Sensor Fusion, and Target Recognition XI; (2002) https://doi.org/10.1117/12.477626
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A nonlinear mean square estimation algorithm for cross-sensor image fusion and spectral anomaly detection is described. The algorithm can be used to enhance a low resolution image with a higher resolution coregistered multispectral image, and to detect anomalies between spectral bands (features in one spectral band that do not occur in other bands). Experimental results for Landsat data are presented illustrating the spatial enhancement of thermal imagery, the detection of thermal anomalies (heat sources), and the detection of smoke plumes.

Citation Download Citation

Mark J. Carlotto "Cross-sensor image fusion and spectral anomaly detection", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); https://doi.org/10.1117/12.477626

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