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Object-Based Image Analysis

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Cover of 'Object-Based Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity
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    Chapter 2 Progressing from object-based to object-oriented image analysis
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    Chapter 3 An object-based cellular automata model to mitigate scale dependency
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    Chapter 4 Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
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    Chapter 5 Image objects and geographic objects
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    Chapter 6 Using texture to tackle the problem of scale in land-cover classification
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    Chapter 7 Domain-specific class modelling for one-level representation of single trees
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    Chapter 8 Object recognition and image segmentation: the Feature Analyst ® approach
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    Chapter 9 A procedure for automatic object-based classification
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    Chapter 10 Change detection using object features
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    Chapter 11 Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysis
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    Chapter 12 A hybrid texture-based and region-based multi-scale image segmentation algorithm
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    Chapter 13 Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imagery
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    Chapter 14 Quality assessment of segmentation results devoted to object-based classification
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    Chapter 15 Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats
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    Chapter 16 Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
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    Chapter 17 An object based approach for the implementation of forest legislation in Greece using very high resolution satellite data
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    Chapter 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
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    Chapter 19 Object-Based Image Analysis
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    Chapter 20 Object oriented oil spill contamination mapping in West Siberia with Quickbird data
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    Chapter 21 An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment
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    Chapter 22 Classification of linear environmental impacts and habitat fragmentation by object oriented analysis of aerial photographs in Corrubedo National Park (NW Iberian Peninsula)
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    Chapter 23 Multi-scale functional mapping of tidal marsh vegetation using object-based image analysis
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    Chapter 24 A Local Fourier Transform approach for vine plot extraction from aerial images
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    Chapter 25 Object-based classification of IKONOS data for vegetation mapping in Central Japan
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    Chapter 26 Structural biodiversity monitoring in savanna ecosystems: Integrating LiDAR and high resolution imagery through object-based image analysis
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    Chapter 27 Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europe
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    Chapter 28 The development of integrated object-based analysis of EO data within UK national land cover products
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    Chapter 29 Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach
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    Chapter 30 Opportunities and limitations of object based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photography
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    Chapter 31 Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil)
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    Chapter 32 An object-based approach to detect road features for informal settlements near Sao Paulo, Brazil
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    Chapter 33 Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application
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    Chapter 34 Characterising mountain forest structure using landscape metrics on LiDAR-based canopy surface models
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    Chapter 35 Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysis
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    Chapter 36 Support Vector Machine Classification for Object-Based Image Analysis
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    Chapter 37 Genetic adaptation of segmentation parameters
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    Chapter 38 Principles of full autonomy in image interpretation. The basic architectural design for a sequential process with image objects
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    Chapter 39 Strategies for semi-automated habitat delineation and spatial change assessment in an Alpine environment
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    Chapter 40 On segment based image fusion
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    Chapter 41 Modelling uncertainty in high resolution remotely sensed scenes using a fuzzy logic approach
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    Chapter 42 Assessing image segmentation quality – concepts, methods and application
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    Chapter 43 Object-fate analysis - spatial relationships for the assessment of object transition and correspondence
Attention for Chapter 21: An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment
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Chapter title
An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment
Chapter number 21
Book title
Object-Based Image Analysis
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-77058-9_21
Book ISBNs
978-3-54-077057-2, 978-3-54-077058-9
Authors

O. Mavrantza, D. Argialas

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Mexico 2 4%
Indonesia 1 2%
Austria 1 2%
Greece 1 2%
United States 1 2%
Unknown 38 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 9 20%
Researcher 7 15%
Other 3 7%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 6 13%
Readers by discipline Count As %
Earth and Planetary Sciences 19 41%
Environmental Science 6 13%
Agricultural and Biological Sciences 3 7%
Engineering 3 7%
Computer Science 3 7%
Other 5 11%
Unknown 7 15%