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Blaschke, Thomas

Object-Based Image Analysis

Object-Based Image Analysis

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Table of contents

Section 1. Why object-based image analysis

1. Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity
S. Lang

2. Progressing from object-based to object-oriented image analysis
M. Baatz, C. Hoffmann, G. Willhauck

3. An object-based cellular automata model to mitigate scale dependency
D. J. Marceau, N. Moreno

4. Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
G. J. Hay, G. Castilla

5. Image objects and geographic objects
G. Castilla, G. J. Hay

Section 2. Multiscale representation and object-based classification

6. Using texture to tackle the problem of scale in land-cover classification
P. Corcoran, A. Winstanley

7. Domain-specific class modelling for one-level representation of single trees
D. Tiede, S. Lang, C. Hoffmann

8. Object recognition and image segmentation: the Feature Analyst® approach
D. Opitz, S. Blundell

9. A procedure for automatic object-based classification
P.R. Marpu, I. Niemeyer, S. Nussbaum, R. Gloaguen

10. Change detection using object features
I. Niemeyer, P.R. Marpu, S. Nussbaum

11. Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysis
T. Lübker, G. Schaab

12. A hybrid texture-based and region-based multi-scale image segmentation algorithm
A. Tzotsos, C. Iosifidis, D. Argialas

13. Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imagery
F.M.B. Coillie, L.P.C. Verbeke, R.R. Wulf

14. Quality assessment of segmentation results devoted to object-based classification
J. Radoux, P. Defourny

Section 3. Automated classification, mapping and updating: forest

15. Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats
M. Förster, B. Kleinschmit

16. Estimation of optimal image object size for the segmentation of
forest stands with multispectral IKONOS imagery
M. Kim, M. Madden, T. Warner

17. An object based approach for the implementation of forest legislation in Greece using very high resolution satellite data
G. Mallinis, D. Karamanolis, M. Karteris, I. Gitas

18. 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, Ca. Thiel, T. Riedel, C. Schmullius

19. Pixels to objects to information: Spatial context to aid in forest characterization with remote sensing
M.A. Wulder, J.C. White, G.J. Hay, G. Castilla

Section 4. Automated classification, mapping and updating: environmental resource management and agriculture

20. Object oriented oil spill contamination mapping in West Siberia with Quickbird data
S. Hese, C. Schmullius

21. An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment
O. Mavrantza, D. Argialas

22. 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, P.R. Ramil Rego, M.S.C. Calvo Iglesias

23. Multi-scale functional mapping of tidal marsh vegetation using object-based image analysis
K. Tuxen, M. Kelly

24. A Local Fourier Transform approach for vine plot extraction from aerial images
C. Delenne, S. Durrieu, G. Rabatel, M. Deshayes

Section 5. Automated classification, mapping and updating: land use / land cover

25. Object-based classification of IKONOS data for vegetation mapping in Central Japan
N. Kamagata, K. Hara, M. Mori, Y. Akamatsu, Y. Li, Y. Hoshino

26. Structural biodiversity monitoring in savanna ecosystems: Integrating LiDAR and high resolution imagery through object-based image analysis
S.R. Levick, K.H. Rogers

27. Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europe
T. Riedel, C. Thiel, C. Schmullius

28. The development of integrated object-based analysis of EO data within UK national land cover products
G.M. Smith

Section 6. Automated classification, mapping and updating: urban applications

29. Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach
P. Hofmann, J. Strobl, T. Blaschke, H. Kux

30. Opportunities and limitations of object based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photography
M. Kampouraki, G. A. Wood, T. R. Brewer

31. Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil)
H. J. H. Kux, E. H. G. Araújo

32. An object-based approach to detect road features for informal
settlements near Sao Paulo, Brazil
R. A. A. Nobrega, C. G. O’Hara, J. A. Quintanilha

Section 7. Development of new methodologies

33. Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application
F. Kressler, K. Steinnocher

34. Characterising mountain forest structure using landscape metrics on
LiDAR-based canopy surface models
B. Maier, D. Tiede, L. Dorren

35. Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysis
M. Rutzinger, B. Höfle, N. Pfeifer

36. Support Vector Machine Classification for Object-Based Image
Analysis
A. Tzotsos, D. Argialas

37. Genetic adaptation of segmentation parameters
G.A.O.P. Costa, R.Q. Feitosa, T.B. Cazes, B. Feijó

38. Principles of full autonomy in image interpretation. The basic architectural design for a sequential process with image objects
R. de Kok, P. Wezyk

39. Strategies for semi-automated habitat delineation and spatial change assessment in an Alpine environment
E. Weinke, S. Lang, M. Preiner

Section 8. Burning research questions, research needs and outlook

40. On segment based image fusion
M. Ehlers, D. Tomowski

41. Modelling uncertainty in high resolution remotely sensed scenes using a fuzzy logic approach
J. Schiewe, M. Gähler

42. Assessing image segmentation quality – concepts, methods and application
M. Neubert, H. Herold, G. Meinel

43. Object-fate analysis - spatial relationships for the assessment of object transition and correspondence
E. Schöpfer, S. Lang, F. Albrecht

Keywords: Geography, Geographical Information Systems/Cartography, Geophysics/Geodesy, Remote Sensing/Photogrammetry, Information Systems and Communication Service, Image Processing and Computer Vision, Landscape/Regional and Urban Planning

Author(s)
 
 
Publisher
Springer
Publication year
2008
Language
en
Edition
1
Series
Lecture Notes in Geoinformation and Cartography
Page amount
834 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783540770589