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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Building Feature Extraction with Machine Learning - Geospatial Applications (Hardcover) Loot Price: R2,577

Discovery Miles 25 770

Repayment Terms: R242 pm x 12*

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Building Feature Extraction with Machine Learning - Geospatial Applications (Hardcover): Prakash P.S., Bharath H Aithal

Building Feature Extraction with Machine Learning - Geospatial Applications (Hardcover)

Prakash P.S., Bharath H Aithal

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Loot Price R2,577 Discovery Miles 25 770 | Repayment Terms: R242 pm x 12*

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1. Provides the fundamentals of feature extraction methods and applications along with fundamentals of machine learning. 2. Discusses in detail the advantages of using machine learning in geospatial feature extraction. 3. Explains the methods for estimating object height from optical satellite remote sensing images using Python, R, QGIS, and GRASS GIS implementations. 4. Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment. 5. Highlights the potential of machine learning and geospatial technology for future project developments.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2022
First published:	2022
Authors:	Prakash P.S. • Bharath H Aithal
Dimensions:	234 x 156 x 14mm (L x W x T)
Format:	Hardcover
Pages:	128
ISBN-13:	978-1-03-225533-0
Categories:	Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	1-03-225533-1
Barcode:	9781032255330