Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification von Anil Kumar

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ISBN: 978-0-367-35574-6
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 10-20 Arbeitstagen
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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.

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.

AutorKumar, Anil / Kumar, A. Senthil / Upadhyay, Priyadarshi
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2023
Seitenangabe194 S.
LieferstatusLieferbar in ca. 10-20 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenFarb., s/w. Abb.
MasseH23.4 cm x B15.6 cm 408 g
CoverlagCRC Press (Imprint/Brand)
Auflage1. A.
VerlagTaylor and Francis

Über den Autor Anil Kumar

Dr. Anil Kumar Puniya, Dean, College of Dairy Science and Technology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India, has significantly contributed in the area of dairy microbiology. Prior to this, he served as Principal Scientist (Professor) in the Dairy Microbiology Division of ICAR-National Dairy Research Institute, Karnal, Haryana, India. He received his doctorate in dairy microbiology from ICAR-NDRI, Karnal in 1994 (over the course of which he was also awarded the prestigious DAAD Fellowship of Germany). He has developed expertise in the field of probiotics besides the role of rumen microbes as direct-fed microbials for enhanced productivity.

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