附註:A collection of papers emerging from a study day, organized in 1996 at the International Institute for Aerospace Survey and Earth Sciences, ITC, in Enschede, The Netherlands.
Includes bibliographical references (pages 261-284).
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.
摘要: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.
