Michael Schmitt
TitleCited byYear
Data fusion and remote sensing - an ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
662016
Compressive Sensing Based Layover Separation in Airborne Single-Pass Multi-Baseline InSAR Data
M Schmitt, U Stilla
IEEE Geoscience and Remote Sensing Letters 10 (2), 313-317, 2013
362013
Maximum-likelihood-based approach for single-pass synthetic aperture radar tomography over urban areas
M Schmitt, U Stilla
IET Radar, Sonar & Navigation 8 (9), 1145-1153, 2014
332014
Adaptive Multilooking of Airborne Single-Pass Multi-baseline InSAR Stacks
M Schmitt, U Stilla
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 305-312, 2014
312014
Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN
LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu
IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018
302018
Maximum-likelihood estimation for multi-aspect multi-baseline SAR interferometry of urban areas
M Schmitt, U Stilla
ISPRS Journal of Photogrammetry and Remote Sensing 87, 68-77, 2014
282014
Adaptive covariance matrix estimation for multi-baseline InSAR data stacks
M Schmitt, JL Schönberger, U Stilla
IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6807-6817, 2014
252014
Reconstruction of individual trees from multi-aspect TomoSAR data
M Schmitt, M Shahzad, XX Zhu
Remote Sensing of Environment 165, 175-185, 2015
212015
Fusion of airborne multi-aspect InSAR data by simultaneous backward geocoding
M Schmitt, U Stilla
2011 Joint Urban Remote Sensing Event, 53-56, 2011
202011
A CNN for the Identification of Corresponding Patches in SAR and Optical Imagery of Urban Scenes
L Mou, M Schmitt, Y Wang, X Zhu
2017 Joint Urban Remote Sensing Event, 2017
192017
AdaBoost-based feature relevance assessment in fusing LiDAR and image data for classification of trees and vehicles in urban scenes
Y Wei, W Yao, J Wu, M Schmitt, U Stilla
XXII. ISPRS Congress, 2012
192012
Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets
C Qiu, M Schmitt, L Mou, P Ghamisi, XX Zhu
Remote Sensing 10 (10), 1572, 2018
172018
Potential of airborne single-pass millimeterwave InSAR data for individual tree recognition
M Schmitt, A Brück, J Schönberger, U Stilla
33. Wissenschaftlich-Technische Jahrestagung der DGPF, 427-435, 2013
152013
Towards airborne single pass decimeter resolution SAR interferometry over urban areas
M Schmitt, C Magnard, T Brehm, U Stilla
ISPRS Conference on Photogrammetric Image Analysis, 197-208, 2011
142011
Simulation-based interpretation and alignment of high-resolution optical and SAR images
S Auer, I Hornig, M Schmitt, P Reinartz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
132017
Analysing changes of the Poyang Lake water area using Sentinel-1 synthetic aperture radar imagery
L Zeng, M Schmitt, L Li, XX Zhu
International Journal of Remote Sensing 38 (23), 7041-7069, 2017
132017
Line based Matching of Uncertain 3D Building Models with IR Image Sequences for Precise Texture Extraction
D Iwaszczuk, L Hoegner, M Schmitt, U Stilla
Photogrammetrie-Fernerkundung-Geoinformation 2012 (5), 511-521, 2012
132012
Fusion of SAR and optical remote sensing data - challenges and recent trends
M Schmitt, F Tupin, XX Zhu
IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), 5458-5461, 2017
122017
Radargrammetric registration of airborne multi-aspect SAR data of urban areas
M Schmitt, O Maksymiuk, C Magnard, U Stilla
ISPRS Journal of Photogrammetry and Remote Sensing 86, 11-20, 2013
122013
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
ISPRS Technical Commission I Symposium, 2018
112018
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Articles 1–20