Cover Image

Deep learning for remote sensing images with open source software /

Bibliographic Details
Main Author: Cresson, ReÌ?mi (Author)
Corporate Author: ProQuest (Firm)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2020]
Edition:First edition.
Series:Signal and Image Processing of Earth Observations Ser.
Subjects:
Remote sensing > Data processing.
Remote-sensing images.
Image processing > Digital techniques.
Machine learning.
Neural networks (Computer science)
Open source software.
TECHNOLOGY / Remote Sensing
TECHNOLOGY / Imaging Systems
COMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Deep learning backgrounds
  • Software
  • Data used : the Tokyo dataset
  • A simple convolutional neural network
  • Fully convolutional neural network
  • Classifiers on deep features
  • Dealing with multiple sources
  • Semantic segmentation of optical imagery
  • Data used : the Amsterdam dataset
  • Mapping buildings
  • Gap filling of optical images : principle
  • The Marmande dataset
  • Pre-processing
  • Model training
  • Inference.