Deep Learning for Hyperspectral Image Analysis and Classification: 5 (Engineering Applications of Computational Methods, 5) (English, Paperback, Li...

About the Book

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs...

Why You Should Read This Book

• Written by acclaimed authors Linmi Tao, Atif Mughees
• Published by Springer-Nature New York Inc (2021)
• 207 pages of comprehensive content
• Available in English language
• Ideal for students, professionals, and avid readers

Product Details

This edition of Deep Learning for Hyperspectral Image Analysis and Classification: 5 (Engineering Applications of Computational Methods, 5) is published by Springer-Nature New York Inc and was first released in 2021. The book contains 207 pages packed with valuable information. It is available in multiple formats including Paperback and Hardcover editions, making it convenient for all types of readers.

Who Is This Book For?

Whether you are a student, a professional looking to expand your knowledge, or simply someone who loves reading, Deep Learning for Hyperspectral Image Analysis and Classification: 5 (Engineering Applications of Computational Methods, 5) by Linmi Tao, Atif Mughees is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery option available across India.