Michael Schmitt
Titel
Zitiert von
Zitiert von
Jahr
Data fusion and remote sensing - an ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
1062016
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
552018
The SEN1-2 dataset for deep learning in SAR-optical data fusion
M Schmitt, LH Hughes, XX Zhu
ISPRS Technical Commission I Symposium, 2018
472018
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
412014
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
402013
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
362014
SEN12MS - A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion
M Schmitt, LH Hughes, C Qiu, XX Zhu
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
322019
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
C Qiu, L Mou, M Schmitt, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 154, 151-162, 2019
302019
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
302017
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
302014
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
302014
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
282017
A Conditional Generative Adversarial Network to Fuse Sar And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images
C Grohnfeldt, M Schmitt, X Zhu
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
272018
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
272018
Reconstruction of individual trees from multi-aspect TomoSAR data
M Schmitt, M Shahzad, XX Zhu
Remote Sensing of Environment 165, 175-185, 2015
242015
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
232017
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ...
arXiv preprint arXiv:1912.12171, 2019
22*2019
Mining hard negative samples for SAR-optical image matching using generative adversarial networks
LH Hughes, M Schmitt, XX Zhu
Remote Sensing 10 (10), 1552, 2018
222018
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
222012
SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks—Optimization, Opportunities and Limits
M Fuentes Reyes, S Auer, N Merkle, C Henry, M Schmitt
Remote Sensing 11 (17), 2067, 2019
212019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20