Description:

Product Description

This book addresses the Geographic Information Systems (GIS) and Remote Sensing communities worldwide by presenting a collection of 43 peer-reviewed interdisciplinary perspectives on Object-Based Image Analysis (OBIA). OBIA is a recent sub-discipline of Geographic Information Science devoted to developing automated methods to partition remote sensing imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scales. Its applications range from agriculture and natural resource management, to national defense and global climate change. Its economic impact spans from data collection, hardware and software vendors, developers and users, to recipients of sound sustainable environmental policy. Its effect is to synergistically bridge the raster world of remote sensing and the vector world of GIS by generating new semantically rich queryable geographic-information from multiscale earth observation data. We invite you to join us on this exciting state-of-the art journey into OBIA. The accompanying CD includes high resolution figures.

From the Back Cover

Advances in earth observations sensors and GIScience have led to the emerging fields of Object-based Image Analysis (OBIA). The need for timely and accurate geo-spatial information is steadily increasing. This book discusses means, technologies and approaches related to the processing and analysis of multi-sensor, multi-resolution data with a focus on the generation, modelling and classification of objects. In high resolution images these objects are typically derived through regionalisation principles. The advancement of feature recognition and advanced image analysis techniques facilitate the extraction of thematic information for policy making support and informed decisions. The applications also address the integration of Geographic Information and the concurrent developments of GIScience and vanquish limitations of pixelwise image processing by exploiting image information context-driven and "intelligently".