I try to keep my publication list as recent as possible on my Google Scholar profile.

Below, you find a manually curated list, which is sorted by publication type and date.

Peer-reviewed Journal Papers

  • Li Q, Shi Y, Auer S, Roschlaub R, Möst K, Schmitt M, Glock C, Zhu XX (2020) Detection of undocumented building constructions from official geodata using a convolutional neural network. Remote Sensing 12 (21): 3537
  • Yokoya N, Ghamisi P, Hänsch R, Schmitt M (2021) Report on the 2020 IEEE GRSS Data Fusion Contest - Global Land Cover Mapping with Weak Supervision. IEEE Geoscience and Remote Sensing Magazine: in press
  • Ebel P, Meraner A, Schmitt M, Zhu X (2020) Multi-sensor data fusion for cloud removal in global and all-season Sentinel-2 imagery. IEEE Transactions on Geoscience and Remote Sensing: in press
  • Chen THK, Qiu C, Schmitt M, Zhu X, Sabel CE, Prishchepov A (2020) Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution. Remote Sensing of Environment 251: 112096 Hughes LH, Marcos D, Lobry S, Tuia D (2020) A deep learning framework for sparse matching of SAR and optical imagery. ISPRS Journal of Photogrammetry and Remote Sensing 169: 166-179
  • Sica F, Bretzke S, Pulella A, Bueso-Bello JL, Martone M, Prats-Iraola P, Gonzalez-Bonilla MJ, Schmitt M, Rizzoli P (2020) InSAR decorrelation at X band from the joint TanDEM-X/PAZ constellation. IEEE Geoscience and Remote Sensing Letters: in press
  • Meraner A, Zhu X, Schmitt M (2020) Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion. ISPRS Journal of Photogrammetry and Remote Sensing 166: 333-346
  • Roschlaub R, Li Q, Auer S, Möst K, Glock C, Schmitt M, Shi Y, Zhu XX (2020) KI-basierte Detektion von Gebäuden mittels Deep Learning und amtlichen Geodaten zur Baufallerkundung. Zeitschrift für Geodäsie, Geoinformation und Landmanagement 145 (3): 180-189
  • Taubenböck H, Debray H, Qiu C, Schmitt M, Wang Y, Zhu X (2020) Seven city types representing morphologic configurations of cities across the globe. Cities 105: 102814
  • Qiu C, Tong X, Schmitt M, Bechtel B, Zhu X (2020) Multi-level feature fusion-based CNN for local climate zone classification from Sentinel-2 images: benchmark results on the So2Sat LCZ42 dataset. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 2793-2806
  • Schmitt M (2020) Potential of large-scale inland water body mapping from Sentinel-1/2 data on the example of Bavaria’s lakes and rivers. Photogrammetrie Fernerkundung Geoinformation 88: 271-289
  • Qiu C, Schmitt M, Geiss C, Zhu X (2020) A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing 163: 152-170
  • Yokoya N, Ghamisi P, Hänsch R, Schmitt M (2020) 2020 IEEE GRSS data fusion contest: global land cover mapping with weak supervision. IEEE Geoscience and Remote Sensing Magazine 8 (1): 154-157
  • Li Q, Qiu C, Ma L, Schmitt M, Zhu XX (2020) Mapping the land cover of Africa at 10 m resolution from multi-source remote sensing data with Google Earth Engine. Remote Sensing 12 (4): 602
  • Zhu X, Hu J, Qiu C, Shi Y, Kang J, Mou L, Bagheri H, Häberle M, Hua Y, Huang R, Hughes L, Li H, Sun Y, Zhang G, Han S, Schmitt M, Wang Y (2020) So2Sat LCZ42: A benchmark dataset for global local climate zones classification. IEEE Geoscience and Remote Sensing Magazine: in press
  • Qiu C, Mou L, Schmitt M, Zhu X (2020) Fusing multiseasonal Sentinel-2 imagery for urban land cover classification with multibranch residual convolutional neural networks. IEEE Geoscience and Remote Sensing Letters: in press
  • Bürgmann T, Koppe W, Schmitt M (2019) Matching of TerraSAR-X derived ground control points to optical image elements using deep learning. ISPRS Journal of Photogrammetry and Remote Sensing 158: 241-248
  • Fuentes Reyes M, Auer S, Merkle N, Schmitt M (2019) SAR-to-optical image translation based on conditional generative adversarial networks – optimization, opportunities and limits. Remote Sensing 11 (17): 2067
  • Qiu C, Mou L, Schmitt M, Zhu X (2019) Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network. ISPRS Journal of Photogrammetry and Remote Sensing 154: 151-162
  • Bagheri H, Schmitt M, Zhu X (2019) Fusion of multi-sensor-derived heights and OSM-derived building footprints for urban 3D reconstruction. ISPRS International Journal of Geo-Information 8 (4): 193
  • Schmitt M, Baier G, Zhu X (2019) Potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection. ISPRS Journal of Photogrammetry and Remote Sensing 148: 130-141
  • Bagheri H, Schmitt M, Zhu X (2018) Fusion of urban TanDEM-X raw DEMs using variational models. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 11 (12): 4761-4774
  • Bagheri H, Schmitt M, d‘Angelo P, Zhu X (2018) A framework for SAR-optical stereogrammetry over urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 146: 389-408
  • Qiu C, Schmitt M, Mou L, Ghamisi P, Zhu X (2018) Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets. Remote Sensing 10 (10): 1572
  • Hughes LH, Schmitt M, Zhu X (2018) Mining hard negative samples for SAR-optical image matching using generative adversarial networks. Remote Sensing 10 (10): 1552
  • Bagheri H, Schmitt M, Zhu X (2017) Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight maps. ISPRS Journal of Photogrammetry and Remote Sensing 144: 285-297
  • Hughes LH, Schmitt M, Mou L, Wang Y, Zhu X (2018) Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN. IEEE Geoscience and Remote Sensing Letters 15 (5): 784-788
  • Kang J, Wang Y, Schmitt M, Zhu X (2018) Object-based multipass InSAR via robust low rank tensor decomposition. IEEE Transactions on Geoscience and Remote Sensing 56 (6): 3062-3077
  • Qiu C, Schmitt M, Zhu X (2018) Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution images. ISPRS Journal of Photogrammetry and Remote Sensing 138: 218-231
  • Auer S, Hornig I, Schmitt M, Reinartz P (2017): Simulation-based interpretation and alignment of high-resolution optical and SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (11): 4779-4793
  • Zeng L, Schmitt M, Li L, Zhu X (2017) Analysing changes of the Poyang Lake water area using Sentinel-1 synthetic aperture radar imagery. International Journal of Remote Sensing 38 (23): 7041-7069
  • Schmitt M, Zhu X (2016) Data fusion in remote sensing – an ever-growing relationship. IEEE Geoscience and Remote Sensing Magazine 4 (4): 6-23
  • Schmitt M, Zhu X (2016) Demonstration of single-pass millimeterwave SAR tomography for forest volumes. IEEE Geoscience and Remote Sensing Letters 13 (2): 202-206
  • Schmitt M, Stilla U (2015) Möglichkeiten der Erzeugung städtischer Oberflächenmodelle mit interferometrischer SAR-Fernerkundung. gis.SCIENCE 2015 (2): 62-70
  • Schmitt M, Shahzad M, Zhu X (2015) Reconstruction of individual trees from multi-aspect TomoSAR data. Remote Sensing of Environment 165: 175-185
  • Schmitt M, Stilla U (2014) Maximum-likelihood based approach for single-pass synthetic aperture radar tomography over urban areas. IET Radar, Sonar & Navigation 8 (9): 1145-1153
  • Schmitt M, Schönberger JL, Stilla U (2014) Benefit of using multiple baselines and multiple aspects for SAR interferometry of urban areas. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 7 (10): 4107-4118
  • Schmitt M, Schönberger JL, Stilla U (2014) Adaptive covariance matrix estimation for multi-baseline InSAR data stacks. IEEE Transactions on Geoscience and Remote Sensing 52 (11): 6807-6817
  • Schmitt M, Stilla U (2014) Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 87: 68-77
  • Schmitt M, Stilla U (2014) Adaptive multilooking of airborne single-pass multi-baseline InSAR stacks. IEEE Transactions on Geoscience and Remote Sensing 52 (1): 305-312
  • Schmitt M, Maksymiuk O, Magnard C, Stilla U (2013) Radargrammetric registration of airborne multi-aspect SAR data of urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 86: 11-20
  • Schmitt M, Magnard C, Stanko S, Ackermann C, Stilla U (2013) Advanced high resolution SAR interferometry of urban areas with airborne millimeterwave radar. Photogrammetrie Fernerkundung Geoinformation 2013 (6): 603-617
  • Schmitt M, Stilla U (2013) Compressive sensing based layover separation in airborne single pass multi-baseline InSAR data. IEEE Geoscience and Remote Sensing Letters 10 (2): 313-317
  • Iwaszczuk D, Hoegner L, Schmitt M, Stilla U (2012) Line based matching of uncertain 3D building models with IR image sequences for precise texture extraction. Photogrammetrie Fernerkundung Geoinformation 2012 (5): 511-521

Conference Papers with Double-Blind Full Paper Review and >4 pages

  • Schmitt M, Prexl J, Ebel P, Liebel L, Zhu X (2020) Weakly supervised semantic segmentation of satellite images for land cover mapping – challenges and opportunities. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020: 795-802
  • Li Q, Shi Y, Auer S, Roschlaub R, Möst K, Schmitt M, Zhu XX (2020) Detection of undocumented buildings using convolutional neural network and official geodata. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020: 517-524
  • Qiu C, Gamba P, Schmitt M, Zhu X (2020) Learning from noisy samples for man-made impervious surface mapping. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020: 787-794
  • Schmitt M, Hughes LH, Qiu C, Zhu X (2019) SEN12MS – A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7: 153–160
  • Schmitt M, Hughes LH, Qiu C, Zhu X (2019) Aggregating cloud-free Sentinel-2 images with Google Earth Engine. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7: 145–152
  • Hughes LH, Schmitt M (2019) A semi-supervised approach to SAR-optical image matching. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7: 71–78
  • Schmitt M, Hughes LH, Zhu X (2018) The SEN1-2 dataset for deep learning in SAR-optical data fusion. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1: 141-146
  • Hughes LH, Auer S, Schmitt M (2018) Investigation of joint visibility between SAR and optical images of urban environments. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2): 129-136
  • Wei Y, Yao W, Wu J, Schmitt M, Stilla U (2012) AdaBoost-based feature relevance assessment in fusing airborne LiDAR and image data for classification of trees and vehicles in urban scenes. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-7: 323-328
  • Schmitt M, Magnard C, Brehm T, Stilla U (2011) Towards airborne single pass decimeter resolution SAR interferometry over urban areas. In: Stilla U, Rottensteiner F, Mayer H, Jutzi B, Butenuth M (Eds) Photogrammetric Image Analysis. Lecture Notes in Computer Science 6952, Springer, Heidelberg: 197-208

Other Peer-Reviewed Conference Papers

  • Qiu C, Schmitt M, Taubenböck H, Zhu X (2019) Mapping human settlements with multi-seasonal Sentinel-2 imagery and attention-based ResNeXt. In: Proceedings of Joint Urban Remote Sensing Event: on CD
  • Bagheri H, Schmitt M, Zhu X (2019) Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry. In: Proceedings of Joint Urban Remote Sensing Event: on CD
  • Qiu C, Schmitt M, Zhu X, Mou L (2018) Urban local climate zone classification with a residual convolutional neural network and multi-seasonal Sentinel-2 images. Proceedings of 10th IAPR Workshop on Pattern Recognition in Remote Sensing: on CD
  • Auer S, Schmitt M, Reinartz P (2018) Object-related alignment of heterogeneous image data in remote sensing. Proceedings of 21st International Conference on Information Fusion: 1607-1614
  • Mou L, Schmitt M, Wang Y, Zhu X (2017) A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes. In: Proceedings of Joint Urban Remote Sensing Event: on CD
  • Schmitt M, Zhu X (2016) Forest analysis by single-pass millimeterwave SAR tomography. Proceedings of 11th European Conference on Synthetic Aperture Radar (EUSAR 2016), Hamburg: 40-43
  • Schmitt M (2015) Three-dimensional reconstruction of urban areas by multi-aspect TomoSAR data fusion. Proceedings of Joint Urban Remote Sensing Event: on CD
  • Schmitt M, Stilla U (2014) Comparison of multi-aspect multi-baseline SAR interferometry and multi-aspect TomoSAR reconstruction results. In: Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin: 501-504
  • Stilla U, Schmitt M, Maksymiuk O, Auer S (2014) Towards the recognition of individual trees in decimeter-resolution airborne millimeterwave SAR. Proceedings of 8th IAPR Workshop on Pattern Recognition in Remote Sensing: on CD
  • Liang W, Hoja D, Schmitt M, Stilla U (2011) Comparative study of change detection for reconstruction monitoring based on very high resolution optical data. In: Proceedings of Joint Urban Remote Sensing Event (JURSE 2011), Munich: 73-76
  • Saati A, Arefi H, Schmitt M, Stilla U (2011) Statistically robust detection and evaluation of errors in DTMs. In: Proceedings of Joint Urban Remote Sensing Event (JURSE 2011), Munich: 305-308
  • Schmitt M, Stilla U (2011) Fusion of airborne multi-aspect InSAR data by simultaneous backward geocoding. In: Proceedings of Joint Urban Remote Sensing Event (JURSE 2011), Munich: 53-56

Other Conference Papers (with Abstract-based review)

  • Hughes L, Merkle N, Bürgmann T, Auer S, Schmitt M (2019) Deep learning for SAR-optical image matching. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2019): 4877-4880
  • Qiu C, Schmitt M, Zhu X (2019) Fusing multi-seasonal Sentinel-2 images with residual convolutional neural networks for LCZ-derived uran land cover classification. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2019): 5037-5040
  • Qiu C, Schmitt M, Ghamisi P, Mou L, Zhu X (2018) Feature importance analysis of Sentinel-2 imagery for large-scale local climate zone classification. Proceedings of IEEE Geoscience and Remote Sensing Symposium: 4681-4684
  • Hughes LH, Schmitt M, Zhu X (2018) Generative adversarial networks for hard negative mining in CNN-based SAR-optical image matching. Proceedings of IEEE Geoscience and Remote Sensing Symposium: 4391-4394
  • Grohnfeldt C, Schmitt M, Zhu X (2018) A conditional generative adversarial network to fuse SAR and multispectral optical data for cloud removal from Sentinel-2 images. Proceedings of IEEE Geoscience and Remote Sensing Symposium: 1726-1729
  • Bagheri H, Schmitt M, Zhu X (2018) Urban TanDEM-X raw DEM fusion based on TV-L1 and Huber models. Proceedings of IEEE Geoscience and Remote Sensing Symposium: 7251-7254
  • Schmitt M, Hughes LH, Körner M, Zhu X (2018) Colorizing Sentinel-1 SAR images using a variational autoencoder conditioned on Sentinel-2 imagery. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2): 1045-1051
  • Bagheri H, Schmitt M, d’Angelo P, Zhu X (2018) Exploring the applicability of semi-global matching for SAR-optical stereogrammetry of urban scenes. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2): 43-48
  • Qiu C, Schmitt M, Ghamis P, Zhu X (2018) Effect of the training set configuration on Sentinel-2-based urban local climate zone classification. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2): 931-936
  • Schmitt M, Tupin F, Zhu X (2017) Fusion of SAR and optical remote sensing data - challenges and recent trends. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth: 5458-5461
  • Qiu C, Schmitt M, Zhu X (2017) Comparative evaluation of signal-based and descriptor-based similarity measures for SAR-optical image matching. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth: 5462-5465
  • Bagheri H, Schmitt M, Zhu X (2017): Fusion of TanDEM-X and Cartosat-1 DEMs using TV-Norm Regularization and ANN-Predicted Weights. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth: 3369-3372
  • Auer S, Schmitt M, Reinartz P (2017) Automatic alignment of high resolution optical and SAR images for urban areas. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth, 5466-5469
  • Mou L, Schmitt M, Wang Y, Zhu X (2017) Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth, 5482-5485
  • Bagheri H, Schmitt M, Zhu X (2017) Uncertainty assessment and weight map generation for efficient fusion of TanDEM-X and Cartosat-1 DEMs. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (1/W1): 433-439
  • Qiu CP, Schmitt M, Zhu X (2017) A tie point matching strategy for very high resolution SAR-optical stereogrammetry over urban areas. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (1/W1): 411-417
  • Schmitt M, Zhu X (2016) On the challenges in stereogrammetric fusion of SAR and optical imagery for urban areas. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 41 (B7): 719-722
  • Schmitt M, Shahzad M, Zhu X (2016) Forest remote sensing on the individual tree level by airborne millimeterwave SAR. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium: 151-154
  • Schmitt M, Wei L, Zhu X (2015) Automatic coastline detection in non-locally filtered TanDEM-X data. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium: 1036-1039
  • Shahzad M, Schmitt M, Zhu X (2015) Segmentation and crown parameter extraction of individual trees in an airborne TomoSAR point cloud. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 40 (3/W2): 205-209
  • Schmitt M, Stilla U (2014) Generating point clouds of urban trees from airborne millimeterwave InSAR data In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014), Quebec: 1-4
  • Fang L, Maksymiuk O, Schmitt M, Stilla U (2014) Potentials and limits of comprehensive 2D glacier motion estimation using satellite SAR data. In: Proceedings of 34. Wissenschaftlich-Technische Jahrestagung der DGPF: on CD
  • Maksymiuk O, Schmitt M, Auer S, Stilla U (2014) Single tree recognition in millimeterwave SAR data by morphological attribute filters. In: Proceedings of 34. Wissenschaftlich-Technische Jahrestagung der DGPF: on CD
  • Fang L, Maksymiuk O, Schmitt M, Stilla U (2013) Determination of glacier surface area using spaceborne SAR imagery. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 15-1 (W1): 105-110
  • Fang L, Maksymiuk O, Schmitt M, Stilla U (2013) Improvement of motion estimation of the Taku glacier using spaceborne SAR images. In: Proceedings of 33. Wissenschaftlich-Technische Jahrestagung der DGPF: 62-70
  • Schmitt M, Brück A, Schönberger J, Stilla U (2013) Potential of airborne single-pass millimeterwave InSAR data for individual tree recognition. In: Proceedings of 33. Wissenschaftlich-Technische Jahrestagung der DGPF: 427-436
  • Anahara T, Schmitt M, Susaki J (2012) Non-linear correction of polarization orientation for the application of ICA to PolSAR imagery. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich: 3142-3145
  • Anahara T, Schmitt M, Tamura M (2012) A filter for homogeneous areas in very high resolution SAR images based on hysteresis smoothing. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich: 3588-3591
  • Iwaszczuk D, Hoegner L, Schmitt M, Stilla U (2012) Linienbasiertes Matching von 3D-Gebäudemodellen mit IR Luftbildsequenzen zur automatischen Texturgewinnung. In: Proceedings of 32. Wissenschaftlich-Technische Jahrestagung der DGPF: 195-201
  • Iwaszczuk D, Hoegner L, Schmitt M, Stilla U (2012) Hierarchical matching of uncertain building models with oblique airborne IR image sequences. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39 (B6): 117-122
  • Maksymiuk O, Schmitt M, Brenner AR, Stilla U (2012) First investigations on detection of stationary vehicles in airborne decimeter resolution SAR data by supervised learning. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich: 3584-3587
  • Schmitt M, Stilla U (2012) Adaptive multilooking of airborne Ka-band multi-baseline InSAR data of urban areas. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich: 7401-7404
  • Schmitt M, Stilla U (2012) Layover separation in airborne single pass multi-baseline InSAR data based on compressive sensing. In: Proceedings of 9th European Conference on Synthetic Aperture Radar (EUSAR 2012), Nuremberg: 30-33
  • Schmitt M, Stilla U (2010) Utilization of airborne multi-aspect InSAR data for the generation of urban ortho-images. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu: 3937-3940
  • Schmitt M, Stilla U (2010) A concept for reconstruction of urban surface models from airborne multi-aspect InSAR data. In: Proceedings of 8th European Conference on Synthetic Aperture Radar (EUSAR 2010), Aachen: 1006-1009