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Cross-sensor image fusion and spectral anomaly detection.
| Content Provider | CiteSeerX |
|---|---|
| Author | Carlotto, Mark J. |
| 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Spectral Anomaly Detection Cross-sensor Image Fusion Spectral Band Thermal Imagery Landsat Data Smoke Plume Thermal Anomaly Heat Source Multispectral Image Low Resolution Image Experimental Result Nonlinear Mean Square Estimation Algorithm Spatial Enhancement |
| Content Type | Text |