Land cover classification of remotely sensed images : a textural approach /

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Bibliographic Details
Author / Creator:	Jenicka, S., author.
Imprint:	Cham : Springer, [2021]
Description:	1 online resource.
Language:	English
Subject:	Remote-sensing images. Image processing -- Digital techniques. Land cover -- Remote sensing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12544400

Hidden Bibliographic Details
ISBN:	9783030665951 303066595X 9783030665944 3030665941
Notes:	Includes index. Online resource; title from PDF title page (SpringerLink, viewed April 12, 2021).
Other form:	Original 3030665941 9783030665944
Standard no.:	10.1007/978-3-030-66595-1

Table of Contents:

Abstract
Acknowledgements
Dedication
List of Figures
List of Tables
List of Symbols and Abreviations
Chapter 1. Introduction to Remote Sensing
Chapter 2. Introduction to Texture
Chapter 3. Literature Survey
Chapter 4. A Few Existing Basic and Multivariate Texture Models
Chapter 5. Texture Based Segmentation Using Basic Texture Models
Chapter 6. Texture Based Segmentation Using LBP with Supervised an Unsupervised Classifiers
Chapter 7. Texture Based Classification of Remotely Sensed Images
Chapter 8.Performance Metrics
List of Publications by Author
Author's Biography. .

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