1 option
Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation.
- Format:
- Book
- Author/Creator:
- Del Rosso, Maria Pia.
- Series:
- Telecommunications
- Language:
- English
- Subjects (All):
- Artificial satellites in remote sensing.
- Physical Description:
- 1 online resource (318 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Stevenage : Institution of Engineering & Technology, 2021.
- Summary:
- This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
- Contents:
- Chapter 1: The rise of Artificial Intelligence (AI) for Earth Observation (EO)
- Chapter 2: Principles of satellite data analysis
- Chapter 3: Artificial intelligence, machine learning and deep learning
- Chapter 4: Artificial neural network
- Chapter 5: Convolutional neural networks
- Chapter 6: How to create a proper EO dataset
- Chapter 7: How to develop your network with Python and Keras
- Chapter 8: A classification problem
- Chapter 9: A generation problem
- Chapter 10: A filtering problem: SAR speckle filtering
- Chapter 11: Future perspectives and conclusions.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-83724-588-6
- 1-83953-213-0
- OCLC:
- 1264470474
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.