Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
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"Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification" by Anil Kumar, Priyadarshi Upadhyay is a book focused on Astronomical Data. Best for readers interested in this subject.
This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification outputs from actual satellite data. All algorithms are supported by in-house developed tool as SMIC.
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"Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification" by Anil Kumar, Priyadarshi Upadhyay is a book focused on Astronomical Data. Best for readers interested in this subject.
Topic: Astronomical Data
Author: Anil Kumar, Priyadarshi Upadhyay
Who this is for:
- Students
- Educators
- Interested readers
Why this book matters: It offers useful subject matter and structured coverage for readers looking to explore the topic in more depth.
This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification outputs from actual satellite data. All algorithms are supported by in-house developed tool as SMIC.
| Author | Anil Kumar, Priyadarshi Upadhyay |
| Publisher | CRC Press |
| Published | 2020-07-20 |
| ISBN-13 | 9780367355715 |
| Binding | Hardcover |
| Pages | 208 |
| Language | English |
| Subjects | Computers | Machine Theory ; Technology & Engineering | Environmental | General ; Technology & Engineering | Imaging Systems ; Technology & Engineering | Remote Sensing & Geographic Information Systems ; Science | Earth Sciences | Geography |
| Topic | Astronomical Data |
Format: Hardcover
Length: 208 pages
Language: English
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