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.
CITATION STYLE
Huang, X., Li, J., Bovolo, F., & Wang, Q. (2019). Special section guest editorial: Change detection using multi-source remotely sensed imagery. Remote Sensing, 11(19). https://doi.org/10.3390/rs11192216
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