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Spatial statistics for remote sensing Libro electrónico edited by Alfred Stein, Freek van der Meer, Ben Gorte

Tipo de material: Libro en línea Libro en línea Idioma: Inglés Series Detalles de publicación: Boston Kluwer Academic Publishers c2002Descripción: xvi, 284 páginas ilustraciones 24 centímetrosISBN:
  • 079235978X
  • 9780792359784
  • 9780306476471
Tema(s): Recursos en línea: Formatos físicos adicionales disponibles:
  • Disponible en línea
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Resumen:
Inglés

Counter This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science.

Número de sistema: 54882
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Incluye bibliografía e índice: páginas 261-284

1. Description of the data in this book..B. Gorte.. 2. Some basic elements of statistics..A. Stein.. 3. Physical principles of optical remote sensing..Freek van der Meer.. 4. Remote Sensing and geographical information systems.. de Bruin, M. Molenaar.. 5. Spatial Statistics..P.M. Atkinson.. 6. Spatial prediction by linear kriging..A. Papritz, A. Stein.. 7. Issues of scale and optimal pixel size..P.J. Curran, P. M. Atkinson.. 8. Conditional Simulation: An alternative to estimation for achieving mapping..J.L. Dungan.. 9. Supervised image classification..B. Gorte.. 10. Unsupervised class detection by adaptive sampling and density estimation..C.H.M. van Kemenade.. 11. Image classification through pectral unmixing..F. van der Meer.. 12. Accuracy assessment of spatial information..A.K. Skidmore.. 13. Spatial sampling schemes for remote sensing..J. de Gruijter.. 14. Remote sensing and decision support systems..A. Sharifi.. Bibliography

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Counter This book treats statistical issues that are of relevance in spatial studies for remote sensing. It consists of contributions by international experts in this field. A brief overview of basic statistics is given, followed by physical aspects of remote sensing. Spatial statistics addresses classification of images by supervised and unsupervised procedures, estimation of spatial structures by variograms, interpolation, simulation, sampling and issues of scale. Geographical information systems allow the integration of remote sensing with other sources of information, concentrating on the concept of the pixel. Attention is also given to decision support for a wide variety of possible and important decisions. A single data set is used throughout the book. This book therefore provides an overview of the state of the art of spatial statistics for remote sensing, highlighting new frontiers in this rapidly developing field of science. Inglés

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