Object Based Image Analysis
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Object-Based Image Analysis
Author: Thomas Blaschke
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-08-09
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
Multispectral Image Analysis Using the Object-Oriented Paradigm
Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery. This reference describes traditional image analysis techniques, introduces object-oriented technology, and discusses the benefits of object-based versus pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques for object classification. The author covers image enhancement methods, how to use ancillary data to constrain image segmentation, and concepts of semantic grouping of objects. He concludes by addressing accuracy assessment approaches. The accompanying downloadable resources present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.
Object-Based Image Analysis and Treaty Verification
Author: Sven Nussbaum
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-09
With the launch of very high-resolution satellite sensors at the beginning of this decade (e.g. IKONOS, OrbView, QUICKBIRD) many important new remote se- ing applications have been developed. Major progress has been demonstrated in the accurate detection, identi?cation and analysis of small-scale, site-speci?c f- tures, including critical commercial and industrial facilities such as nuclear power plants. According to IAEA Director-General and 2005 Nobel Peace Prize winner, Dr. Mohamed ElBaradei, the provision of the necessary information and guarantees for monitoring the Iranian nuclear programme is an urgent priority for the future. Today, satellite imagery analysis is an integral part of the International Atomic Energy Agency’s (IAEA) safeguards and veri?cations efforts and high-resolution commercial satellite imagery is an important component of this process. Several international studies have proven the usefulness and documented the - plicability of remotely sensed data for site veri?cation purposes. Recent important developments in satellite sensor capabilities and innovations in analytic techniques make it clear that this “hardware-software-complex” is changing and improving rapidly. This book documents the latest developments in satellite data analysis and comprehensively describes the process of extracting information from space-borne sensor data for site veri?cation purposes.