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Deep Learning for Remote Sensing Images with Open Source Software
book

Deep Learning for Remote Sensing Images with Open Source Software

by Rémi Cresson
July 2020
Intermediate to advanced
164 pages
3h 16m
English
CRC Press
Content preview from Deep Learning for Remote Sensing Images with Open Source Software

14

 

Gapfilling of optical images: principle

 

In this section, we propose to address a problem of image restoration, which is quite different in nature than land cover mapping, to show that deep learning can also be applied to other topics in remote sensing. For the practice session, using a GPU is strongly advised to reduce the processing time. We refer the reader to the OTBTF GitHub repository1 to get instructions for using the Docker image with GPU support.

 

14.1  Introduction

A well-known issue impacting optical imagery is the presence of clouds. The need for cloud-free images at precise date is required in many operational monitoring applications. On the other hand, the SAR sensors are cloud-insensitive and they provide orthogonal ...

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Publisher Resources

ISBN: 9781000093612