Machine learning for planetary science / (Record no. 216576)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04658cam a2200493 i 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | YDX |
| 019 ## - | |
| -- | 1305438600 |
| -- | 1306021844 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128187227 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128187220 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning for planetary science / |
| Statement of responsibility, etc. | edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner. |
| 300 ## - DESCRIPTION | |
| Extent | 1 online resource (xvi, 216 pages) : |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Front Cover -- Machine Learning for Planetary Science -- Copyright -- Contents -- Contributors -- Foreword -- References -- 1 Introduction to machine learning -- 1.1 Overview of machine learning methods -- 1.2 Supervised learning -- 1.2.1 Classification -- 1.2.2 Regression -- 1.3 Unsupervised learning -- 1.3.1 Clustering -- 1.3.2 Dimensionality reduction -- 1.4 Semisupervised learning -- 1.4.1 Self-training -- 1.4.2 Self-training with Expectation Maximization -- 1.4.3 Cotraining -- 1.5 Active learning -- 1.5.1 Uncertainty sampling -- 1.5.2 Query-by-committee |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.6 Popular machine learning methods -- 1.6.1 Principal component analysis -- 1.6.2 K-means clustering -- 1.6.3 Support vector machines -- 1.6.4 Decision trees and random forests -- 1.6.5 Neural networks -- 1.7 Data set preparation -- References -- 2 The new and unique challenges of planetary missions -- 2.1 Introduction -- 2.1.1 50 years of Mercury exploration -- 2.1.2 Challenges of large and complex data return -- 2.1.3 Facing the unknown -- 2.1.4 Machine learning for planetary science -- References -- 3 Finding and reading planetary data -- 3.1 Data acquisition in planetary science |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.1.1 Introduction -- 3.1.2 Data processing levels -- 3.1.3 PDS -- 3.1.3.1 Organizational structure within a node -- Releases and volumes -- EDR and RDR -- PDS4 collections and bundles -- 3.1.4 ESA's Planetary Science Archive -- 3.1.5 Reading data with Python -- 3.1.5.1 Example reading of PDS3 data -- 3.1.5.2 Troubleshooting data reading -- 3.1.6 Spaces to watch -- 3.1.6.1 PDR -- 3.1.6.2 PlanetaryPy -- 3.1.6.3 OpenPlanetary -- 4 Introduction to the Python Hyperspectral Analysis Tool (PyHAT) -- 4.1 Introduction -- 4.2 PyHAT library architecture -- 4.3 PyHAT orbital |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4.3.1 Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) -- 4.3.2 Moon Mineralogy Mapper (M3) -- 4.3.3 Kaguya Spectral Profiler -- 4.4 PyHAT in-situ -- 4.4.1 Baseline removal example -- 4.4.2 Regression analysis example -- 4.4.3 Data exploration example -- 4.4.4 Calibration transfer -- 4.5 Conclusion -- Acronyms -- Acknowledgments -- References -- 5 Tutorial: how to access, process, and label PDS image data for machine learning -- 5.1 Introduction -- 5.2 Access to PDS data products -- 5.2.1 PDS Image Atlas -- 5.2.2 PDS Imaging Node Data Portal |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.3 Preprocessing PDS data products into standard image formats -- 5.3.1 PDS image data products -- 5.3.2 PDS browse images -- 5.3.3 Converting PDS image data products -- 5.4 Labeling image data -- 5.4.1 Publicly available labeled image data sets -- 5.4.2 Tools for labeling image data -- 5.5 Example PDS image classifier results -- 5.5.1 Train, validation, and test sets -- 5.5.2 Model fine-tuning -- 5.5.3 Model calibration and performance -- 5.5.4 Access to HiRISENet classification results -- 5.6 Summary -- Acknowledgments -- References |
| 650 #0 - SUBJECT | |
| Keyword | Planetary science |
| 650 #0 - SUBJECT | |
| Keyword | Machine learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Helbert, Joern, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | D'Amore, Mario, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Aye, Michael, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kerner, Hannah, |
| 856 40 - ONLINE RESOURCES | |
| url | https://www.sciencedirect.com/science/book/9780128187210 |
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