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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In this section we apply semantic segmentation to map the buildings over the Amsterdam region of interest.
12.1 Input data pre-processing
We intend to perform the semantic segmentation of buildings, from a Spot-7 image at 1.5m acquired over Amsterdam. The first step is to pre-process the Spot-7 image. Then, we will prepare the terrain truth that will be used for the training of our U-Net model. The main difference with the approach investigated in Part II, is that the labels are patches rather that a single label value. Hence we weed to produce a label image for our terrain truth, with the same pixel size of the Spot-7 image.
12.1.1 Satellite image pansharpening
In a sake of simplicity, we will introduce a very ...
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