Spatial Statistics for Remote Sensing

1. Auflage 1999
ISBN: 978-0-7923-5978-4
Verlag: Springer Netherlands

Buch, Englisch, Band 1, 284 Seiten, Format (B × H): 160 mm x 240 mm, Gewicht: 1330 g

Reihe: Remote Sensing and Digital Image Processing

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.

Zielgruppe

Research

Autoren/Hrsg.

Stein, A.

Meer, Freek D. van der

Gorte, Ben

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Angewandte Optik
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

Preface.- Contributors and editors.- Introduction.- I. 1. Description of the data. 2. Some basic elements of statistics.- 3. Physical principles of optical R.S. 4. Remote Sensing and GIS.- II. 5. Spatial Statistics. 6. Spatial prediction by linear kriging. 7. Issues of scale and optimal pixel size. 8. Conditional Simulation. 9. Supervised image classification. 10. Unsupervised class detection. 11. Spectral unmixing.- III. 12. Accuracy assessment. 13. Spatial sampling schemes. 14. Decision support systems.- Bibliography.