Vista normal Vista MARC

Remote sensing digital image analysis: an introduction [Libro electrónico] / autor: John A. Richards

Por: Richards, John A [autor/a].
Tipo de material: Libro en línea Libro en línea Editor: New York, New York, United States: Springer-Verlag, c1993Edición: Segunda edición.Descripción: xx, 340 páginas : ilustraciones ; 25 centímetros.ISBN: 3540548408; 0387548408; 9783540582199 (Print); 9783642880872 (Online).Tema(s): Remote sensing | Image processing -- Digital techniquesNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 335-340 Número de sistema: 56381Contenidos:Mostrar Resumen:
Inglés

This well-established introductory text presents the complete spectrum of acquisition, analysis and processing of remotely sensed image data. It is intended for the postgraduate and senior undergraduate student as well as the practitioner who, although not highly skilled in mathematics, still wishes to understand how algorithms work and how they should be applied. It covers the whole range of image classification techniques commonly used and also techniques in image enhancement necessary for effective photointerpretation of image data. Each chapter contains worked examples which illustrate the operations of the various algorithms covered. This makes it easy to use the book as a teaching text and makes in valuable for self-study.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-540-58219-9
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Libros Biblioteca Electrónica
Recursos en línea (RE) 		Acervo General Recurso digital ECO400563813061

Incluye bibliografía e índice: páginas 335-340

1. Sources and characteristics of remote sensing image data.. 2. Error correction and registration of image data.. 3. The interpretation of digital image data.. 4. Radiometric enhancement techniques.. 5. Geometric enhancement using image domain techniques.. 6. Multispectral transformations of image data.. 7. Fourier transformation of image data.. 8. Supervised classification techniques.. 9. Clustering and unsupervised classification.. 10. Feature reduction.. 11. Image classification methodologies.. 12. Knowledge-based image analysis.. Subject Index

Disponible para usuarios de ECOSUR con su clave de acceso

This well-established introductory text presents the complete spectrum of acquisition, analysis and processing of remotely sensed image data. It is intended for the postgraduate and senior undergraduate student as well as the practitioner who, although not highly skilled in mathematics, still wishes to understand how algorithms work and how they should be applied. It covers the whole range of image classification techniques commonly used and also techniques in image enhancement necessary for effective photointerpretation of image data. Each chapter contains worked examples which illustrate the operations of the various algorithms covered. This makes it easy to use the book as a teaching text and makes in valuable for self-study. eng

Disponible en línea

Disponible en formato PDF

Subscripción a ELSEVIER 26 de diciembre del 2013

Con tecnología Koha