LEADER 05214nam 22006135 450 001 9910484579703321 005 20251204105040.0 010 $a3-030-66595-X 024 7 $a10.1007/978-3-030-66595-1 035 $a(CKB)4100000011795040 035 $a(DE-He213)978-3-030-66595-1 035 $a(MiAaPQ)EBC6513499 035 $a(Au-PeEL)EBL6513499 035 $a(OCoLC)1241730425 035 $a(PPN)254726186 035 $a(EXLCZ)994100000011795040 100 $a20210310d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLand Cover Classification of Remotely Sensed Images $eA Textural Approach /$fby S. Jenicka 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XV, 176 p. 21 illus., 10 illus. in color.) 311 08$a3-030-66594-1 327 $aAbstract -- 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. . 330 $aThe book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing. 606 $aGeographic information systems 606 $aComputer vision 606 $aEnvironmental monitoring 606 $aCivil engineering 606 $aGeographical Information System 606 $aComputer Vision 606 $aEnvironmental Monitoring 606 $aCivil Engineering 615 0$aGeographic information systems. 615 0$aComputer vision. 615 0$aEnvironmental monitoring. 615 0$aCivil engineering. 615 14$aGeographical Information System. 615 24$aComputer Vision. 615 24$aEnvironmental Monitoring. 615 24$aCivil Engineering. 676 $a778.35 700 $aJenicka$b S.$0851633 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484579703321 996 $aLand cover classification of remotely sensed images$91901540 997 $aUNINA