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Advanced image processing techniques for remotely sensed hyperspectral data [Libro electrónico] / Pramod K. Varshney, Manoj K. Arora

Por: Varshney, Pramod K [autor].
Arora, Manoj K [autor].
Tipo de material: Libro en línea Libro en línea Editor: New York, New York, United States: Springer-Verlag, c2004Descripción: xv, 322 páginas : ilustraciones ; 25 centímetros.ISBN: 3540216685; 9783662056059 (Online).Tema(s): Image processing -- Digital techniques | Remote sensing | Multispectral photographyNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice (página 317-322 Número de sistema: 56524Contenidos:Mostrar Resumen:
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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 more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high­ dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-642-06001-4
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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 ECO40056524996

Incluye bibliografía e índice (página 317-322

Chapter 1. Introduction.. Chapter 2. General.. Chapter 3. Theory.. Chapter 4. Applications.. Index

Disponible para usuarios de ECOSUR con su clave de acceso

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 more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high­ dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University. eng

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