The book brings together contributions written by renowned researchers from all over the world and from a wide range of disciplines. The book is meant for professionals and researchers who use remote sensing image analysis, image interpretation and image classification in their work. It is also intended as a textbook and reference for PhD students and graduates in disciplines such as geography, geology, botany, ecology, forestry, cartography, water resource management, soil science, engineering, urban and regional planning or other disciplines using geospatial data extracted from earth observation imagery.
This book on ‘Remote Sensing Image Analysis: Including the Spatial Domain’ is a followup to a previous publication (2001) entitled ‘Imaging Spectrometry: Basic Principles and Prospective Applications’ by the same editors. Th at book emphasized the need for improved identifi cation of objects at the earth’s surface, the improvement of sensors such as Landsat TM and SPOT and the improved quantifi cation of object properties, using a wide range of spectrally based analytical image processing techniques. This, second book shifts the attention from spectrally based techniques to spatial-based approaches. Th e editors and authors sincerely hope that this volume will introduce the possibilities of spatially-based image analysis methods to the attention of a wide range of researchers and image users, that it will inspire them to apply these methods in their work and will stimulate them to develop new algorithms and applications in this field.
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