July 2020
Intermediate to advanced
164 pages
3h 16m
English
Content preview from Deep Learning for Remote Sensing Images with Open Source Software
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The Sentinel-1 and Sentinel-2 images should now be downloaded and ready to use. We will proceed to the creation of a dataset that can be used (i) to train the model described in section 14.3, and also (ii) to evaluate its performance in terms of root mean squared error.
The Sentinel-1 image has 16 bits signed encoding and the Sentinel-2 images have 16 bits unsigned encoding, i.e. integer numbers. We need to normalize the pixels to have absolute values inside the [0, 1] range. As in sections 5.1, 8.3 and 12.12 we use the BandMathX application of the Orfeo ToolBox to perform the band concatenation and the normalization of values.
We process only the 10-m-resolution bands, ...
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