Remote Sensing

Models and Methods for Image Processing

Robert A. Schowengerdt

560 pages, parution le 25/10/2006 (3^eme édition)

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Résumé

Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. This book, in its 3rd edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards.

Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever.

Sommaire

The Nature of Remote Sensing
Optical Radiation Models
Sensor Models
Data Models
Spectral Transforms
Spatial Transforms
Correction and Calibration
Image Registration and Fusion
Thematic Classification

Appendix A Sensor Acronyms
Appendix B 1-D and 2-D Functions

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Academic Press
Auteur(s)	Robert A. Schowengerdt
Parution	25/10/2006
Édition	3^eme édition
Nb. de pages	560
Format	20 x 24,5
Couverture	Relié
Poids	1405g
Intérieur	Noir et Blanc
EAN13	9780123694072
ISBN13	978-0-12-369407-2