Table of Contents
Table of Contents
1. Introduction 8
1.1. Motivation 8
1.2. Goal and contents 9
2. Radar systems 11
2.1. Basic principles of radar systems 11
2.2. Airborne and spaceborne radar systems 14
2.3. Radar image properties 16
2.4. Differences between radar and optical imagery 17
2.5. Areas of application for radar images 19
3. Extraction of linear objects from SAR and optical imagery 21
3.1. Road models for SAR and optical imagery 21
3.1.1. Road models for optical imagery 21
3.1.2. Road models for SAR imagery 24
3.2. Overview of extraction algorithms for linear features 25
3.2.1. Unsupervised extraction for main road axes 25
3.2.2. TU Munich road extraction 26
3.2.3. Intermap road extraction 27
3.2.4. Road extraction from interferometric SAR data 27
3.3. Selection of algorithms for further examination 29
4. Extraction algorithms 30
4.1. Acquisition of global context 30
4.2. Intermap extraction algorithm 31
4.2.1. General approach 31
4.2.2. Consideration of global context 35
4.2.3. Adaptations for use with optical imagery 37
4.3. TU Munich extraction algorithm 37
4.3.1. General approach 38
4.3.2. Consideration of global context 42
4.3.3. Adaptations for use with SAR imagery 44
5. Practical analysis of extraction algorithms on SAR imagery 46
5.1. Intermap extraction algorithm on SAR imagery 46
5.1.1. Test approach 46
5.1.2. Results and evaluation 48
5.1.2.1 Results for urban areas 49
5.1.2.2 Results for open areas 54
5
Table of Contents
5.1.2.3 Overall results 57
5.2. TU Munich extraction algorithm on SAR imagery 59
5.2.1. Test approach 59
5.2.2. Results and evaluation 59
5.2.2.1 Results for urban areas 59
5.2.2.2 Results for open areas 63
5.2.2.3 Overall results 65
5.3. Comparison of TU Munich and Intermap extraction algorithms on SAR
imagery 66
6. Practical analysis of extraction algorithms on optical imagery 67
6.1. Intermap extraction algorithm on optical imagery 67
6.1.1. Test approach 67
6.1.2. Results and evaluation 68
6.1.2.1 Results for urban areas 69
6.1.2.2 Results for open areas 75
6.1.2.3 Overall results 78
6.2. Comparison of results from SAR and optical imagery (Intermap extraction
algorithm) 79
6.3. TU Munich extraction algorithm on optical imagery 80
6.3.1. Test approach 80
6.3.2. Results and evaluation 81
6.3.2.1 Results for urban areas 81
6.3.2.2 Results for open areas 83
6.3.2.3 Overall results 85
6.4. Comparison of results from SAR and optical imagery (TU Munich
extraction algorithm) 86
6.5. Comparison of TU Munich and Intermap extraction algorithms on optical
imagery 87
6.6. Enhanced extraction by merging of SAR and optical imagery results 87
6.6.1. Test approach 88
6.6.2. Results and evaluation 89
7. Summary and outlook 96
7.1. Summary 96
7.2. Outlook 97
References 99
List of Figures 103
List of Tables 105
Appendix 106
A 1 Alterable parameters for Intermap extraction algorithm (SAR imagery and
urban areas) 106
6
Table of Contents
A 2 Alterable parameters for Intermap extraction algorithm (SAR imagery and
open areas) 107
A 3 Alterable parameters for Intermap extraction algorithm (optical imagery
and urban areas) 108
A 4 Alterable parameters for Intermap extraction algorithm (optical imagery
and open areas) 109
B 1 Alterable parameters for TU Munich extraction algorithm (SAR imagery
and urban areas) 110
B 2 Alterable parameters for TU Munich extraction algorithm (SAR imagery
and open areas) 111
B 3 Alterable parameters for TU Munich extraction algorithm (optical imagery
and urban areas) 112
B 4 Alterable parameters for TU Munich extraction algorithm (optical imagery
and open areas) 113
7
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Stefan Hoheisel, 2003, Automated Road Extraction from Radar and Optical Imagery, Munich, GRIN Publishing GmbH
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