Techniques for Image Processing and Classifications in Remote Sensing

✍ Scribed by Robert A. Schowengerdt (Auth.)

Publisher: Academic Press
Year: 1983
Tongue: English
Leaves: 261
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content:
Inside Front Cover, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
List of Illustrations, Pages ix-xii
Preface, Pages xiii-xv
CHAPTER 1 - Fundamentals, Pages 1-56
CHAPTER 2 - Digital Image Processing, Pages 57-120,120a,120b,121-128
CHAPTER 3 - Digital Image Classification, Pages 129-130,130a,131-214
APPENDIX A - Remote Sensing and Image Processing Bibliography, Pages 215-220
APPENDIX B - Digital Image Data Formats, Pages 221-229
APPENDIX C - The Table Look-Up Algorithm and Interactive Image Processing, Pages 231-236
APPENDIX D - Examination Questions, Pages 237-245
Index, Pages 247-249

📜 SIMILAR VOLUMES

Image Processing and GIS for Remote Sens

📁 Image Processing and GIS for Remote Sensing: Techniques and Applications

✍ Jian Guo Liu, Philippa J. Mason 📂 Library 📅 2016 🏛 Wiley Blackwell 🌐 English

<p>Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book there

Image Processing and GIS for Remote Sens

📁 Image Processing and GIS for Remote Sensing: Techniques and Applications

✍ Jian Guo Liu, Philippa J. Mason 📂 Library 📅 2016 🏛 Wiley Blackwell 🌐 English

Image processing and GIS for remote sens

📁 Image processing and GIS for remote sensing : techniques and applications

✍ Liu, Jian-Guo; Mason, Philippa J 📂 Library 📅 2016 🏛 John Wiley & Sons 🌐 English

Essential Image Processing and GIS for R

📁 Essential Image Processing and GIS for Remote Sensing. Techniques and Applications

✍ Liu J.G., Mason P.J. 📂 Library 🌐 English

John Wiley, 2016. — 472. Second edition<div class="bb-sep"></div>Remote sensing is a mechanism for collecting raster data or images, and remotely sensed images represent an objective record of the spectrum relating to the physical properties and chemical composition of the earth surface materials. I

Advanced Image Processing Techniques for

📁 Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

✍ Professor Dr. Pramod K. Varshney, Dr. Manoj K. Arora (auth.) 📂 Library 📅 2004 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming

Image processing for remote sensing

📁 Image processing for remote sensing

✍ Chen C.H. (ed.) 📂 Library 📅 2008 🏛 CRC Press/Taylor & Francis Group 🌐 English

Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image