Forschungsbericht; 2016-32 (Koln, 2016). - ОГЛАВЛЕНИЕ / CONTENTS
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ОбложкаVelotto D. Oil spill and ship detection using high resolution polarimetric X-band SAR data: Diss. … Dr.-Ing. / Deutsches Zentrum für Luft- und Raumfahrt, Institut für Methodik der Fernerkundung der Forschungsstelle Maritime Sicherheit, Bremen. – Köln: DLR, 2016. - [177] p.: ill., tab. - (Forschungsbericht; 2016-32). - Res. also Germ. - Bibliogr. at the end of the book. – ISSN 1434-8454
Шифр: (Pr 1120/N 2016-32) 02

 

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Оглавление / Contents
 
1    Introduction ............................................... 6
1.1  Scientific Motivation ...................................... 7
1.2  Problem Statement and Objectives ........................... 7
1.3  Thesis Outline ............................................ 10

2    SAR Principles and Polarimetry ............................ 12
2.1  SAR Imaging Principles .................................... 12
     2.1.1  Radar Cross Section and Speckle .................... 15
     2.1.2  Geometrical Constraints ............................ 16
     2.1.3  SAR Artifacts ...................................... 17
2.2  Polarimetric SAR Principles ............................... 20
     2.2.1  Wave Polarimetry ................................... 21
     2.2.2  Scattering Matrix and Pauli Vector ................. 22
     2.2.3  Second Order Statistic ............................. 23
     2.2.4  Eigenvalue decomposition ........................... 24
     2.2.5  Model based decomposition .......................... 26
2.3  New Generation High Resolution SAR: TerraSAR-X ............ 27
     2.3.1. First Spaceborne X-band SAR with coherent
            Polarimetric capabilities .......................... 27
     2.3.2. Experimental Dual Receive Antenna DRA mode ......... 28

3    Marine Pollution Detection and Discrimination ............. 29
3.1  Introduction .............................................. 29
     3.1.1  Rough Surface Scattering ........................... 31
     3.1.2  Bragg Surface Scattering ........................... 33
3.2  Oil spill monitoring by means of Single polarized SAR
     data ...................................................... 34
     3.2.1  State-of-the-Art in operational pollution
            monitoring ......................................... 37
     3.2.2  The Neural Network (NN) approach developed for
            TerraSAR-X ......................................... 38
3.3  Observation of Marine Slicks exploiting the Co-Polar
     channel correlation ....................................... 39
     3.3.1  Co-Polarized Phase Difference (CPD) and Coherence .. 40
     3.3.2  Case studies ....................................... 42
     3.3.3  Polarimetric features extracted from the 2×2
            Covariance Matrix .................................. 47

4    Marine Target Detection and Discrimination ................ 48
4.1  State of the Art .......................................... 50
     4.1.1  Single Polarization Ship Detector .................. 51
     4.1.2  Target Detector based on spectral analysis ......... 53
4.2  Multi-Polarization Target Detectors ....................... 57
     4.2.1  Overview of target detection using multi
            polarization SAR data .............................. 57
     4.2.2  An approach for target detection using reflection
            symmetry in Dual-Pol data .......................... 60
     4-2.3  Results and algorithm validation ................... 61
4.3  Discrimination of False Positives caused by Azimuth
     Ambiguity ................................................. 67
     4-3.1  Removing Azimuth Ambiguities using Cross-Pol
            channels ........................................... 71
     4.3.2  Results and algorithm validation ................... 76
     4.3.3  Discussion on alternative methodologies ............ 86

5    Synergy between SAR platforms for Maritime Surveillance ... 86
5.1  C-/X-band analysis and synergy ............................ 87
5.2  TanDEM-X constellation prospective for maritime
     applications .............................................. 94

6    Summary ................................................... 98
6.1  Discussion and Conclusion ................................. 98
6.2  Outlook .................................................. 100

A.   Relevant publications as part of the thesis .............. 102
A.l  Velotto D., Migliaccio M., Nunziata F.,
     Lehner S., 2011 .......................................... 102
     Dual-polarized TerraSAR-X data for oil-spill
     observation. IEEE Transactions on Geoscience and
     Remote Sensing 49 (12): 4751-4762
A.2  Lehner S., Pleskachevsky A., Velotto D.,
     Jacobsen S., 2013a ....................................... 115
     Meteo-marine parameters and their variability
     observed by high resolution satellite radar images.
     Oceanography 26 (2): 80-91
A.3  Velotto D., Nunziata F., Migliaccio M., Lehner, S.,
     2013b .................................................... 129
     Dual-polarimetric TerraSAR-X SAR data for target at sea
     observation. IEEE Geoscience and Remote Sensing
     Letters 10 (5): 1114-1118
A.4  Velotto D., Soccorsi M., Lehner S., 2014 ................. 135
     Azimuth ambiguities removal for ship detection using
     full Polarimetric X-Band SAR data. IEEE Transactions on
     Geoscience and Remote Sensing 52 (1): 76-88
A.5  Velotto D., Bentes C., Tings В., Lehner S., 2015 ......... 149
     First comparison of Sentinel-1 and TerraSAR-X data in
     the framework of maritime targets detection: South
     Italy case. IEEE Journal of Oceanic Engineering,
     accepted for publication


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