Object-Based Image Analysis: Spatial Concepts for by Thomas Blaschke, Stefan Lang, Geoffrey Hay PDF

By Thomas Blaschke, Stefan Lang, Geoffrey Hay

ISBN-10: 3540770577

ISBN-13: 9783540770572

This booklet addresses the Geographic details platforms (GIS) and distant Sensing groups around the world by means of offering a set of forty three peer-reviewed interdisciplinary views on Object-Based photo research (OBIA). OBIA is a contemporary sub-discipline of Geographic details technology dedicated to constructing computerized how to partition distant sensing imagery into significant image-objects, and assessing their features via spatial, spectral and temporal scales. Its functions diversity from agriculture and traditional source administration, to nationwide safeguard and international weather switch. Its financial impression spans from information assortment, and software program proprietors, builders and clients, to recipients of sound sustainable environmental coverage. Its impression is to synergistically bridge the raster global of distant sensing and the vector international of GIS by means of producing new semantically wealthy queryable geographic-information from multiscale earth commentary info. We invite you to affix us in this fascinating state-of-the paintings trip into OBIA. The accompanying CD contains excessive solution figures.

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Additional info for Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography)

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Willhauck be extracted, add challenges specifically in terms of modelling and autoadaptive procedures. The advantage of a spatial resolution with pixel sizes significantly smaller than the average size of the object of interest comes with the disadvantage of an abundance of spatial detail and the accordingly huge amount of data to be processed. To overcome this drawback, the objectbased image analysis approach has proven to be an alternative to the pixelbased image analysis and a large number of publications suggest that better results can be expected (Baatz and Schäpe 2000, Willhauck et al.

Both the factor of good gestalt and the factor of proximity and continuation explain why humans would delineate an object on a higher level. As found out by Navon (1977), a scene is rather decomposed than built-up: if segmentation routine start from pixels, it can hardly mimic the way of visual processing, namely to start from a global analysis of the overall pattern and then to proceed subsequently to finer structures. The limitations as pointed out above may require coping strategies like the introduction of hybrid techniques.

International Journal of Remote Sensing. Volume 27, Number 18 / 20 September 2006, 4039–4055. 3 An object-based cellular automata model to mitigate scale dependency D. J. Marceau1, N. ca 2 Centro de Simulación y Modelos, Facultad de Ingeniería, Universidad de Los Andes, Venezuela KEYWORDS: Scale dependency, raster-based cellular automata model, vector-based raster-based cellular automata model, land-use change ABSTRACT: Cellular automata (CA) are individual-based spatial models increasingly used to simulate the dynamics of natural and human systems and forecast their evolution.

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Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography) by Thomas Blaschke, Stefan Lang, Geoffrey Hay


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