This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.

Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery

Bovolo, Francesca;
2019-01-01

Abstract

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/319668
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