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ORCIDMichael Schmitt 0003
Person information
- affiliation: Bundeswehr University Munich, Neubiberg, Germany
Other persons with the same name
- Michael Schmitt — disambiguation page
- Michael Schmitt 0001 — Ruhr University Bochum, Germany (and 2 more)
- Michael Gerz (aka: Michael Schmitt 0002) — Fraunhofer Institute for Communication, Information Processing, and Ergonomics FKIE, Wachtberg, Germany
- Michael Schmitt 0004 — Public Research Centre Henri Tudor, Luxembourg
- Michael Schmitt 0005 — Rheinisch-Westfälische Technische Hochschule Aachen, RWTH, Department of Technical Computer Science, Germany
- Michael Schmitt 0006 — Visometry GmbH, Darmstadt, Germany (and 1 more)
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2020 – today
- 2024
[j35]Kangqing Shen
, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt:
A benchmarking protocol for SAR colorization: From regression to deep learning approaches. Neural Networks 169: 698-712 (2024)- [j34]Thomas Roßberg, Michael Schmitt:
Dense NDVI Time Series by Fusion of Optical and SAR-Derived Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7748-7758 (2024) - [j33]Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hänsch:
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11194-11207 (2024) - [i21]Burak Ekim, Michael Schmitt:
Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors. CoRR abs/2406.19302 (2024) - 2023
- [j32]Xingliang Huang, Kaiqiang Chen, Deke Tang, Chenglong Liu, Libo Ren, Zheng Sun, Ronny Hänsch, Michael Schmitt, Xian Sun, Hai Huang, Helmut Mayer:
Urban Building Classification (UBC) V2 - A Benchmark for Global Building Detection and Fine-Grained Classification From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c54]Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu:
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. CVPR Workshops 2023: 2086-2096 - [c53]Jonathan Prexl, Michael Schmitt:
Multi-Modal Multi-Objective Contrastive Learning for Sentinel-1/2 Imagery. CVPR Workshops 2023: 2136-2144 - [c52]Anton Baumann, Thomas Roßberg, Michael Schmitt:
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression. ICCV (Workshops) 2023: 4500-4508 - [c51]Jonathan Prexl, Michael Schmitt:
The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing. IGARSS 2023: 526-529 - [c50]Francescopaolo Sica, Pavan Muguda Sanjeevamurthy, Michael Schmitt:
Self-Supervised Learning for InSAR Phase and Coherence Estimation. IGARSS 2023: 722-725 - [c49]Burak Ekim, Michael Schmitt:
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping. IGARSS 2023: 962-965 - [c48]Sanjay Swami, Roger Förstner, Michael Schmitt:
Investigation of the Relationship Between Spaceborne TIR Measurements and Near Surface Air Temperature. IGARSS 2023: 1055-1058 - [c47]Michael Schmitt, Michael Recla, Stefan Auer:
Potential of Single-Image-Derived Height Maps for Change Detection in Capella Constellation Sar Data. IGARSS 2023: 1373-1376 - [c46]Michael Recla, Michael Schmitt:
Improving Deep Learning-Based Height Estimation from Single SAR Images by Injecting Sensor Parameters. IGARSS 2023: 1806-1809 - [c45]Maximilian Eitel, Michael Schmitt:
1d-CNN for Land Cover Classification of Sentinel-3 Altimetry Waveforms Using Additional Features. IGARSS 2023: 3058-3061 - [c44]Thomas Roßberg, Michael Schmitt:
Temporal Upsampling of NDVI Time Series by RNN-Based Fusion of Sparse Optical and Dense SAR-Derived NDVI Data. IGARSS 2023: 5990-5993 - [c43]Mojgan Madadikhaljan, Michael Schmitt:
Georeferencing Thermal Satellite Images Based on Land Cover Information Extraction. IGARSS 2023: 6362-6365 - [c42]Jonathan Prexl, Sudipan Saha, Michael Schmitt:
High Precision Mapping Of Building Changes Using Sentinel-2. IGARSS 2023: 6744-6747 - [c41]Jonathan Prexl, Michael Schmitt:
The Potential of Sentinel-2 Data for Global Building Footprint Mapping with High Temporal Resolution. JURSE 2023: 1-4 - [c40]Michael Recla, Michael Schmitt:
From Relative to Absolute Heights in SAR-based Single-Image Height Prediction. JURSE 2023: 1-4 - [i20]Burak Ekim, Michael Schmitt:
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping. CoRR abs/2304.02407 (2023) - [i19]Patrick Ebel, Vivien Sainte Fare Garnot, Michael Schmitt, Jan Dirk Wegner, Xiao Xiang Zhu:
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series. CoRR abs/2304.05464 (2023) - [i18]Anton Baumann, Thomas Roßberg, Michael Schmitt:
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression. CoRR abs/2308.07477 (2023) - [i17]Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt:
A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches. CoRR abs/2310.08705 (2023) - [i16]Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023) - 2022
- [j31]Xin Chen, Chunping Qiu, Wenyue Guo, Anzhu Yu, Xiaochong Tong, Michael Schmitt:
Multiscale Feature Learning by Transformer for Building Extraction From Satellite Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j30]Chunping Qiu, Lukas Liebel, Lloyd Haydn Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu:
Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j29]Chunping Qiu, He Li, Wenyue Guo, Xin Chen, Anzhu Yu, Xiaochong Tong, Michael Schmitt:
Transferring Transformer-Based Models for Cross-Area Building Extraction From Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4104-4116 (2022) - [j28]Jun Li, Yuejie Zhang, Qinghong Sheng, Zhaocong Wu, Bo Wang, Zhongwen Hu, Guanting Shen, Michael Schmitt, Matthieu Molinier:
Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8759-8775 (2022) - [j27]Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu:
Explaining the Effects of Clouds on Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9976-9986 (2022) - [j26]Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya:
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j25]Patrick Ebel, Yajin Xu, Michael Schmitt, Xiao Xiang Zhu:
SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j24]Yuan Zhang, Yanping Wang, Michael Schmitt, Changshun Yuan:
Efficient ArcSAR Focusing in the Wavenumber Domain. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [c39]Xingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt, Ronny Hänsch, Xian Sun, Hai Huang, Helmut Mayer:
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery. CVPR Workshops 2022: 1412-1420 - [c38]Michael Recla, Michael Schmitt:
On the Transferability of Single Image Height Estimation for SAR Intensity Imagery. IGARSS 2022: 36-39 - [c37]Burak Ekim, Michael Schmitt:
Mapinwild: A Dataset for Global Wilderness Mapping. IGARSS 2022: 231-234 - [c36]Thomas Roßberg, Michael Schmitt:
Estimating NDVI from Sentinel-1 Sar Data Using Deep Learning. IGARSS 2022: 1412-1415 - [c35]Philipp Sibler, Francescopaolo Sica, Michael Schmitt:
Deep Learning-Based SAR Interferogram Synthesis from Raster and Land Cover Data. IGARSS 2022: 5236-5239 - [c34]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. IGARSS 2022: 5365-5368 - [c33]Patrick Ebel, Yajin Xu, Michael Schmitt, Xiao Xiang Zhu:
Multi-Sensor Time Series Cloud Removal Fusing Optical and SAR Satellite Information. IGARSS 2022: 5381-5384 - [d1]Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya:
GeoNRW. IEEE DataPort, 2022
- [i15]Patrick Ebel, Yajin Xu, Michael Schmitt, Xiaoxiang Zhu:
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal. CoRR abs/2201.09613 (2022) - [i14]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. CoRR abs/2209.12480 (2022) - [i13]Burak Ekim, Timo T. Stomberg, Ribana Roscher, Michael Schmitt:
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. CoRR abs/2212.02265 (2022) - 2021
- [j23]Burak Ekim, Zeyu Dong, Dmitry Rashkovetsky, Michael Schmitt:
The naturalness index for the identification of natural areas on regional scale. Int. J. Appl. Earth Obs. Geoinformation 105: 102622 (2021) - [j22]Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, José-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola, María José González Bonilla, Michael Schmitt, Paola Rizzoli:
InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation. IEEE Geosci. Remote. Sens. Lett. 18(12): 2107-2111 (2021) - [j21]Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3185-3199 (2021) - [j20]Dmitry Rashkovetsky, Florian Mauracher, Martin Langer, Michael Schmitt:
Wildfire Detection From Multisensor Satellite Imagery Using Deep Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7001-7016 (2021) - [j19]Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiao Xiang Zhu:
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery. IEEE Trans. Geosci. Remote. Sens. 59(7): 5866-5878 (2021) - [c32]Lloyd Haydn Hughes, Michael Schmitt:
Comparative Evaluation of Deep Learning-Based Sar-Optical Image Matching Approaches. IGARSS 2021: 423-426 - [c31]Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch:
There is No Data Like More Data - Current Status of Machine Learning Datasets in Remote Sensing. IGARSS 2021: 1206-1209 - [c30]Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu:
Internal Learning for Sequence-to-Sequence Cloud Removal via Synthetic Aperture Radar Prior Information. IGARSS 2021: 2691-2694 - [i12]Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch:
There is no data like more data - current status of machine learning datasets in remote sensing. CoRR abs/2105.11726 (2021) - [i11]Michael Recla, Michael Schmitt:
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data. CoRR abs/2111.02061 (2021) - 2020
- [j18]Chunping Qiu, Lichao Mou, Michael Schmitt, Xiao Xiang Zhu:
Fusing Multiseasonal Sentinel-2 Imagery for Urban Land Cover Classification With Multibranch Residual Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(10): 1787-1791 (2020) - [j17]Qingyu Li, Chunping Qiu, Lei Ma, Michael Schmitt, Xiao Xiang Zhu:
Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine. Remote. Sens. 12(4): 602 (2020) - [j16]Qingyu Li, Yilei Shi, Stefan Auer, Robert Roschlaub, Karin Möst, Michael Schmitt, Clemens Glock, Xiaoxiang Zhu:
Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network. Remote. Sens. 12(21): 3537 (2020) - [j15]Lei Ma, Michael Schmitt, Xiaoxiang Zhu:
Uncertainty Analysis of Object-Based Land-Cover Classification Using Sentinel-2 Time-Series Data. Remote. Sens. 12(22): 3798 (2020) - [j14]Chunping Qiu, Xiaochong Tong, Michael Schmitt, Benjamin Bechtel, Xiao Xiang Zhu:
Multilevel Feature Fusion-Based CNN for Local Climate Zone Classification From Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2793-2806 (2020) - [c29]Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu:
Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion. IGARSS 2020: 2065-2068 - [c28]Jakob Gawlikowski, Michael Schmitt, Anna M. Kruspe, Xiaoxiang Zhu:
On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification. IGARSS 2020: 2081-2084 - [i10]Chunping Qiu, Michael Schmitt, Christian Geiß, Tzu-Hsin Karen Chen, Xiao Xiang Zhu:
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks. CoRR abs/2001.11935 (2020) - [i9]Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu:
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. CoRR abs/2002.08254 (2020) - [i8]Chunping Qiu, Xiaochong Tong, Michael Schmitt, Benjamin Bechtel, Xiao Xiang Zhu:
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset. CoRR abs/2005.07983 (2020) - [i7]Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiaoxiang Zhu:
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery. CoRR abs/2009.07683 (2020) - [i6]Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya:
Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data. CoRR abs/2011.11314 (2020) - [i5]Chunping Qiu, Lukas Liebel, Lloyd H. Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu:
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification. CoRR abs/2011.11452 (2020)
2010 – 2019
- 2019
- [j13]Hossein Bagheri, Michael Schmitt, Xiaoxiang Zhu:
Fusion of Multi-Sensor-Derived Heights and OSM-Derived Building Footprints for Urban 3D Reconstruction. ISPRS Int. J. Geo Inf. 8(4): 193 (2019) - [j12]Mario Fuentes Reyes, Stefan Auer, Nina Merkle, Corentin Henry, Michael Schmitt:
SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks - Optimization, Opportunities and Limits. Remote. Sens. 11(17): 2067 (2019) - [c27]Lloyd Haydn Hughes, Nina Merkle, Tatjana Bürgmann, Stefan Auer, Michael Schmitt:
Deep Learning for SAR-Optical Image Matching. IGARSS 2019: 4877-4880 - [c26]Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu:
Fusing Multi-Seasonal Sentinel-2 Images with Residual Convolutional Neural Networks for Local Climate Zone-Derived Urban Land Cover Classification. IGARSS 2019: 5037-5040 - [c25]Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu:
Towards the Reconstruction of Prismatic Building Models by SAR-Optical Stereogrammetry. JURSE 2019: 1-4 - [c24]Chunping Qiu, Michael Schmitt, Hannes Taubenböck, Xiao Xiang Zhu:
Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt. JURSE 2019: 1-4 - [i4]Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, Xiao Xiang Zhu:
SEN12MS - A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. CoRR abs/1906.07789 (2019) - [i3]Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd H. Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang:
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification. CoRR abs/1912.12171 (2019) - 2018
- [j11]Lloyd H. Hughes, Michael Schmitt, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN. IEEE Geosci. Remote. Sens. Lett. 15(5): 784-788 (2018) - [j10]Lloyd Haydn Hughes, Michael Schmitt, Xiao Xiang Zhu:
Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial Networks. Remote. Sens. 10(10): 1552 (2018) - [j9]Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets. Remote. Sens. 10(10): 1572 (2018) - [j8]Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu:
Fusion of Urban TanDEM-X Raw DEMs Using Variational Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4761-4774 (2018) - [j7]Jian Kang, Yuanyuan Wang, Michael Schmitt, Xiao Xiang Zhu:
Object-Based Multipass InSAR via Robust Low-Rank Tensor Decomposition. IEEE Trans. Geosci. Remote. Sens. 56(6): 3062-3077 (2018) - [c23]Stefan Auer, Peter Reinartz, Michael Schmitt:
Object-Related Alignment of Heterogeneous Image Data in Remote Sensing. FUSION 2018: 1607-1614 - [c22]Claas Grohnfeldt, Michael Schmitt, Xiaoxiang Zhu:
A Conditional Generative Adversarial Network to Fuse Sar And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images. IGARSS 2018: 1726-1729 - [c21]Lloyd H. Hughes, Michael Schmitt, Xiao Xiang Zhu:
Generative Adversarial Networks for Hard Negative Mining in CNN-Based SAR-Optical Image Matching. IGARSS 2018: 4391-4394 - [c20]Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu:
Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. IGARSS 2018: 4681-4684 - [c19]Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu:
Urban TanDEM-X Raw DEM Fusion Based ON TV-L1 and Huber Models. IGARSS 2018: 7251-7254 - [i2]Lloyd H. Hughes, Michael Schmitt, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN. CoRR abs/1801.08467 (2018) - [i1]Michael Schmitt, Lloyd Haydn Hughes, Xiao Xiang Zhu:
The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. CoRR abs/1807.01569 (2018) - 2017
- [j6]Stefan Auer, Isabel Hornig, Michael Schmitt, Peter Reinartz:
Simulation-Based Interpretation and Alignment of High-Resolution Optical and SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(11): 4779-4793 (2017) - [c18]Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu:
Fusion of TanDEM-X and Cartosat-1 DEMS using TV-norm regularization and ANN-predicted weights. IGARSS 2017: 3369-3372 - [c17]Michael Schmitt, Florence Tupin, Xiao Xiang Zhu:
Fusion of SAR and optical remote sensing data - Challenges and recent trends. IGARSS 2017: 5458-5461 - [c16]Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu:
Comparative evaluation of signal-based and descriptor-based similarity measures for SAR-optical image matching. IGARSS 2017: 5462-5465 - [c15]Stefan Auer, Michael Schmitt, Peter Reinartz:
Automatic alignment of high resolution optical and SAR images for urban areas. IGARSS 2017: 5466-5469 - [c14]Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu:
Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. IGARSS 2017: 5482-5485 - [c13]Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu:
A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes. JURSE 2017: 1-4 - 2016
- [j5]Michael Schmitt, Xiaoxiang Zhu:
Demonstration of Single-Pass Millimeterwave SAR Tomography for Forest Volumes. IEEE Geosci. Remote. Sens. Lett. 13(2): 202-206 (2016) - [c12]Michael Schmitt, Muhammad Shahzad, Xiaoxiang Zhu:
Forest remote sensing on the individual tree level by airborne millimeterwave SAR. IGARSS 2016: 151-154 - 2015
- [c11]Michael Schmitt, Lingyun Wei, Xiaoxiang Zhu:
Automatic coastline detection in non-locally filtered tandem-X data. IGARSS 2015: 1036-1039 - 2014
- [j4]Michael Schmitt, Johannes L. Schönberger, Uwe Stilla:
Benefit of Using Multiple Baselines and Multiple Aspects for SAR Interferometry of Urban Areas. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(10): 4107-4118 (2014) - [j3]Michael Schmitt, Uwe Stilla:
Adaptive Multilooking of Airborne Single-Pass Multi-Baseline InSAR Stacks. IEEE Trans. Geosci. Remote. Sens. 52(1): 305-312 (2014) - [j2]Michael Schmitt, Johannes L. Schönberger, Uwe Stilla:
Adaptive Covariance Matrix Estimation for Multi-Baseline InSAR Data Stacks. IEEE Trans. Geosci. Remote. Sens. 52(11): 6807-6817 (2014) - [c10]Michael Schmitt, Uwe Stilla:
Generating point clouds of forested areas from airborne millimeter wave InSAR data. IGARSS 2014: 1-4 - 2013
- [j1]Michael Schmitt, Uwe Stilla:
Compressive Sensing Based Layover Separation in Airborne Single-Pass Multi-Baseline InSAR Data. IEEE Geosci. Remote. Sens. Lett. 10(2): 313-317 (2013) - 2012
- [c9]Takuma Anahara, Michael Schmitt, Junichi Susaki:
Non-linear correction of polarization orientation for the application of ICA to PolSAR imagery. IGARSS 2012: 3142-3145 - [c8]Oliver Maksymiuk, Michael Schmitt, Andreas R. Brenner, Uwe Stilla:
First investigations on detection of stationary vehicles in airborne decimeter resolution SAR data by supervised learning. IGARSS 2012: 3584-3587 - [c7]Takuma Anahara, Michael Schmitt, Masayuki Tamura:
A filter for homogeneous areas in very high resolution SAR images based on hysteresis smoothing. IGARSS 2012: 3588-3591 - [c6]Michael Schmitt, Uwe Stilla:
Adaptive multilooking of airborne Ka-band multi-baseline InSAR data of urban areas. IGARSS 2012: 7401-7404 - 2011
- [c5]Michael Schmitt, Uwe Stilla:
Fusion of airborne multi-aspect InSAR data by simultaneous backward geocoding. JURSE 2011: 53-56 - [c4]Wenjing Liang, Danielle Hoja, Michael Schmitt, Uwe Stilla:
Comparative study of change detection for reconstruction monitoring based on very high resolution optical data. JURSE 2011: 73-76 - [c3]Amirreza Saati, Hossein Arefi, Michael Schmitt, Uwe Stilla:
Statistically robust detection and evaluation of errors in DTMs. JURSE 2011: 305-308 - [c2]