Data fusion for remote sensing applications
نویسنده
چکیده
With a growing number of satellite sensors the coverage of the earth in space, time and the electromagnetic spectrum is increasing fast. To be able to utilize all this information, a number of approaches for data fusion have been presented. The “multi” concept for remote sensing applications refers to multisource, multiscale, multipolarization, multifrequency, and multitemporal imagery. We present and discuss methods for multisource image analysis and provide a tutorial on the subject on data fusion for remote sensing. The main focus is on methods for multisource, multiscale and multitemporal image classification. Guidelines to be used in choosing the best architecture and approach for data fusion for a given application are provided.
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