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9783540770572

Object-Based Image Analysis

by ; ;
  • ISBN13:

    9783540770572

  • ISBN10:

    3540770577

  • Edition: CD
  • Format: Hardcover
  • Copyright: 2008-08-03
  • Publisher: Springer Verlag
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List Price: $279.99

Summary

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. Book jacket.

Table of Contents

External Reviewersp. XV
Why object-based image analysisp. 1
Object-based image analysis for remote sensing applications: modeling reality - dealing with complexityp. 3
Progressing from object-based to object-oriented image analysisp. 29
An object-based cellular automata model to mitigate scale dependencyp. 43
Geographic Object-Based Image Analysis (GEOBIA): A new name for a new disciplinep. 75
Image objects and geographic objectsp. 91
Multiscale representation and object-based classificationp. 111
Using texture to tackle the problem of scale in land-cover classificationp. 113
Domain-specific class modelling for one-level representation of single treesp. 133
Object recognition and image segmentation: the Feature Analyst approachp. 153
A procedure for automatic object-based classificationp. 169
Change detection using object featuresp. 185
Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysisp. 203
A hybrid texture-based and region-based multi-scale image segmentation algorithmp. 221
Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imageryp. 237
Quality assessment of segmentation results devoted to object-based classificationp. 257
Automated classification, mapping and updating: forestp. 273
Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitatsp. 275
Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imageryp. 291
An object-based approach for the implementation of forest legislation in Greece using very high resolution satellite datap. 309
Object-based classification of SAR data for the delineation of forest cover maps and the detection of deforestation - A viable procedure and its application in GSE Forest Monitoringp. 327
Pixels to objects to information: Spatial context to aid in forest characterization with remote sensingp. 345
Automated classification, mapping and updating: environmental resource management and agriculturep. 365
Object-oriented oil spill contamination mapping in West Siberia with Quickbird datap. 367
An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environmentp. 383
Classification of linear environmental impacts and habitat fragmentation by object-oriented analysis of aerial photographs in Corrubedo National Park (NW Iberian Peninsula)p. 399
Multi-scale functional mapping of tidal marsh vegetation using object-based image analysisp. 415
A Local Fourier Transform approach for vine plot extraction from aerial imagesp. 443
Automated classification, mapping and updating: land use / land coverp. 457
Object-based classification of IKONOS data for vegetation mapping in Central Japanp. 459
Structural biodiversity monitoring in savanna ecosystems: Integrating LiDAR and high resolution imagery through object-based image analysisp. 477
Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europep. 493
The development of integrated object-based analysis of EO data within UK national land cover productsp. 513
Automated classification, mapping and updating: urban applicationsp. 529
Detecting informal settlements from QuickBird data in Rio de Janeiro using an object-based approachp. 531
Opportunities and limitations of object-based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photographyp. 555
Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil)p. 571
An object-based approach to detect road features for informal settlements near Sao Paulo, Brazilp. 589
Development of new methodologiesp. 609
Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping applicationp. 611
Characterising mountain forest structure using landscape metrics on LiDAR-based canopy surface modelsp. 625
Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysisp. 645
Support Vector Machine classification for Object-Based Image Analysisp. 663
Genetic adaptation of segmentation parametersp. 679
Principles of full autonomy in image interpretation. The basic architectural design for a sequential process with image objectsp. 697
Strategies for semi-automated habitat delineation and spatial change assessment in an Alpine environmentp. 711
Burning research questions, research needs and outlookp. 733
On segment based image fusionp. 735
Modelling uncertainty in high resolution remotely sensed scenes using a fuzzy logic approachp. 755
Assessing image segmentation quality - concepts, methods and applicationp. 769
Object-fate analysis: Spatial relationships for the assessment of object transition and correspondencep. 785
Indexp. 803
Table of Contents provided by Ingram. All Rights Reserved.

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