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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Semantic segmentation of optical imagery
This section presents an approach to perform semantic segmentation on very high resolution remote sensing images using a deep convolutional neural network. In part II, we introduced a patch based classification approach, that is suited to sparsely annotated data. However, this kind of approach is limited in term of semantic precision in spatial location. Indeed, a patch based network is designed to attribute one single class to an input patch, and does not make use of the context of the actual classes, namely the terrain truth. On the contrary, semantic segmentation methods, also known as dense prediction, use the semantic spatial context. These approaches train networks ...
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