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Remote sensing, models, and methods for image processing /

This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schowengerdt, Robert A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1997.
Edición:2nd ed.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Schowengerdt, Robert A. 
245 1 0 |a Remote sensing, models, and methods for image processing /  |c Robert A. Schowengerdt. 
250 |a 2nd ed. 
260 |a San Diego :  |b Academic Press,  |c �1997. 
300 |a 1 online resource (xlv, 522 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Revised edition of: Techniques for image processing and classification in remote sensing. 
504 |a Includes bibliographical references (pages 483-516) and index. 
505 0 0 |g Ch. 1.  |t The Nature of Remote Sensing --  |g Ch. 2.  |t Optical Radiation Models --  |g Ch. 3.  |t Sensor Models --  |g Ch. 4.  |t Data Models --  |g Ch. 5.  |t Spectral Transforms --  |g Ch. 6.  |t Spatial Transforms --  |g Ch. 7.  |t Correction and Calibration --  |g Ch. 8.  |t Image Registration and Fusion --  |g Ch. 9.  |t Thematic Classification --  |g App. A.  |t Sensor Acronyms --  |g App. B.  |t Function Definitions. 
520 |a This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature. 
588 0 |a Print version record. 
546 |a English. 
650 0 |a Image processing. 
650 0 |a Remote-sensing images. 
650 6 |a Traitement d'images.  |0 (CaQQLa)201-0029952 
650 6 |a Images-satellite.  |0 (CaQQLa)201-0261523 
650 7 |a image processing.  |2 aat  |0 (CStmoGRI)aat300237864 
650 7 |a TECHNOLOGY & ENGINEERING  |x Imaging Systems.  |2 bisacsh 
650 7 |a Image processing  |2 fast  |0 (OCoLC)fst00967501 
650 7 |a Remote-sensing images  |2 fast  |0 (OCoLC)fst01094509 
650 7 |a Fernerkundung  |2 gnd  |0 (DE-588)4016796-3 
650 7 |a Imagem (cartografia)  |2 larpcal 
700 1 |a Schowengerdt, Robert A.  |t Techniques for image processing and classification in remote sensing. 
776 0 8 |i Print version:  |a Schowengerdt, Robert A.  |t Remote sensing, models, and methods for image processing.  |b 2nd ed.  |d San Diego : Academic Press, �1997  |z 0126289816  |w (DLC) 97008078  |w (OCoLC)36485918 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780080516103  |z Texto completo