External Reviewers p. XV
Section 1 Why object-based image analysis p. 1
1.1 Object-based image analysis for remote sensing applications: modeling reality - dealing with complexity S. Lang p. 3
1.2 Progressing from object-based to object-oriented image analysis M. Baatz and C. Hoffmann and G. Willhauck p. 29
1.3 An object-based cellular automata model to mitigate scale dependency D. J. Marceau and N. Moreno p. 43
1.4 Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline G. J. Hay and G. Castilla p. 75
1.5 Image objects and geographic objects G. Castilla and G. J. Hay p. 91
Section 2 Multiscale representation and object-based classification p. 111
2.1 Using texture to tackle the problem of scale in land-cover classification P. Corcoran and A. Winstanley p. 113
2.2 Domain-specific class modelling for one-level representation of single trees D. Tiede and S. Lang and C. Hoffmann p. 133
2.3 Object recognition and image segmentation: the Feature Analyst approach D. Opitz and S. Blundell p. 153
2.4 A procedure for automatic object-based classification P.R. Marpu and I. Niemeyer and S. Nussbaum and R. Gloaguen p. 169
2.5 Change detection using object features I. Niemeyer and P.R. Marpu and S. Nussbaum p. 185
2.6 Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysis T. Lubker and G. Schaab p. 203
2.7 A hybrid texture-based and region-based multi-scale image segmentation algorithm A. Tzotsos and C. Iosifidis and D. Argialas p. 221
2.8 Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imagery F.M.B. Van Coillie and L.P.C. Verbeke and R.R. De Wulf p. 237
2.9 Quality assessment of segmentation results devoted to object-based classification J. Radoux and P. Defourny p. 257
Section 3 Automated classification, mapping and updating: forest p. 273
3.1 Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats M. Forster and B. Kleinschmit p. 275
3.2 Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery M. Kim and M. Madden and T. Warner p. 291
3.3 An object-based approach for the implementation of forest legislation in Greece using very high resolution satellite data G. Mallinis and D. Karamanolis and M. Karteris and I. Gitas p. 309
3.4 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 Monitoring Ch. Thiel and Ca. Thiel and T. Riedel and C. Schmullius p. 327
3.5 Pixels to objects to information: Spatial context to aid in forest characterization with remote sensing M.A. Wulder and J.C. White and G.J. Hay and G. Castilla p. 345
Section 4 Automated classification, mapping and updating: environmental resource management and agriculture p. 365
4.1 Object-oriented oil spill contamination mapping in West Siberia with Quickbird data S. Hese and C. Schmullius p. 367
4.2 An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment O. Mavrantza and D. Argialas p. 383
4.3 Classification of linear environmental impacts and habitat fragmentation by object-oriented analysis of aerial photographs in Corrubedo National Park (NW Iberian Peninsula) R.A.D. Varela and P.R. Rego and M.S.C. Iglesias p. 399
4.4 Multi-scale functional mapping of tidal marsh vegetation using object-based image analysis K. Tuxen and M. Kelly p. 415
4.5 A Local Fourier Transform approach for vine plot extraction from aerial images C. Delenne and S. Durrieu and G. Rabatel and M. Deshayes p. 443
Section 5 Automated classification, mapping and updating: land use / land cover p. 457
5.1 Object-based classification of IKONOS data for vegetation mapping in Central Japan N. Kamagata and K. Hara and M. Mori and Y. Akamatsu and Y. Li and Y. Hoshino p. 459
5.2 Structural biodiversity monitoring in savanna ecosystems: Integrating LiDAR and high resolution imagery through object-based image analysis S.R. Levick and K.H. Rogers p. 477
5.3 Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europe T. Riedel and C. Thiel and C. Schmullius p. 493
5.4 The development of integrated object-based analysis of EO data within UK national land cover products G.M. Smith p. 513
Section 6 Automated classification, mapping and updating: urban applications p. 529
6.1 Detecting informal settlements from QuickBird data in Rio de Janeiro using an object-based approach P. Hofmann and J. Strobl and T. Blaschke and H. Kux p. 531
6.2 Opportunities and limitations of object-based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photography M. Kampouraki and G. A. Wood and T. R. Brewer p. 555
6.3 Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil) H. J. H. Kux and E. H. G. Araujo p. 571
6.4 An object-based approach to detect road features for informal settlements near Sao Paulo, Brazil R. A. A. Nobrega and C. G. O'Hara and J. A. Quintanilha p. 589
Section 7 Development of new methodologies p. 609
7.1 Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application F. Kressler and K. Steinnocher p. 611
7.2 Characterising mountain forest structure using landscape metrics on LiDAR-based canopy surface models B. Maier and D. Tiede and L. Dorren p. 625
7.3 Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysis M. Rutzinger and B. Hofle and N. Pfeifer p. 645
7.4 Support Vector Machine classification for Object-Based Image Analysis A. Tzotsos and D. Argialas p. 663
7.5 Genetic adaptation of segmentation parameters G. A. O. P. Costa and R. Q. Feitosa and T. B. Cazes and B. Feijo p. 679
7.6 Principles of full autonomy in image interpretation. The basic architectural design for a sequential process with image objects R. de Kok and P. Wezyk p. 697
7.7 Strategies for semi-automated habitat delineation and spatial change assessment in an Alpine environment E. Weinke and S. Lang and M. Preiner p. 711
Section 8 Burning research questions, research needs and outlook p. 733
8.1 On segment based image fusion M. Ehlers and D. Tomowski p. 735
8.2 Modelling uncertainty in high resolution remotely sensed scenes using a fuzzy logic approach J. Schiewe and M. Gahler p. 755
8.3 Assessing image segmentation quality - concepts, methods and application M. Neubert and H. Herold and G. Meinel p. 769
8.4 Object-fate analysis: Spatial relationships for the assessment of object transition and correspondence E. Schopfer and S. Lang and F. Albrecht p. 785
Index p. 803