Maxim Neumann
Maxim Neumann
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Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
I Ali, F Greifeneder, J Stamenkovic, M Neumann, C Notarnicola
Remote Sensing 7 (12), 16398-16421, 2015
Estimation of forest structure, ground, and canopy layer characteristics from multibaseline polarimetric interferometric SAR data
M Neumann, L Ferro-Famil, A Reigber
IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1086-1104, 2009
Assessing performance of L-and P-band polarimetric interferometric SAR data in estimating boreal forest above-ground biomass
M Neumann, SS Saatchi, LMH Ulander, JES Fransson
IEEE Transactions on Geoscience and Remote Sensing 50 (3), 714-726, 2012
Detecting tropical forest biomass dynamics from repeated airborne lidar measurements
V Meyer, SS Saatchi, J Chave, JW Dalling, S Bohlman, GA Fricker, ...
Biogeosciences 10 (8), 5421-5438, 2013
Multibaseline polarimetric SAR interferometry coherence optimization
M Neumann, L Ferro-Famil, A Reigber
IEEE Geoscience and Remote Sensing Letters 5 (1), 93-97, 2008
A large-scale study of representation learning with the visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
NASADEM global elevation model: Methods and progress
R Crippen, S Buckley, E Belz, E Gurrola, S Hensley, M Kobrick, M Lavalle, ...
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2016
Impacts of spatial variability on aboveground biomass estimation from L-band radar in a temperate forest
C Robinson, S Saatchi, M Neumann, T Gillespie
Remote Sensing 5 (3), 1001-1023, 2013
Remote sensing of vegetation using multi-baseline polarimetric SAR interferometry: Theoretical modeling and physical parameter retrieval
M Neumann
PhD, Berlin University of Technology, Germany, 2009
A general model-based polarimetric decomposition scheme for vegetated areas
M Neumann, L Ferro-Famil, E Pottier
Proceedings of the 4th International Workshop on Science and Applications of …, 2009
Multi-baseline POL-inSAR statistical techniques for the characterization of distributed media
L Ferro-Famil, M Neumann, Y Huang
2009 IEEE International Geoscience and Remote Sensing Symposium 3, III-971 …, 2009
Recent advances in the derivation of POL-inSAR statistics: Study and applications
L Ferro-Famil, M Neumann
7th European Conference on Synthetic Aperture Radar, 1-4, 2008
Classifying polarimetric SAR data by combining expectation methods with spatial context
A Reigber, M Jäger, M Neumann, L Ferro-Famil
International Journal of Remote Sensing 31 (3), 727-744, 2010
A self-initializing PolInSAR classifier using interferometric phase differences
M Jager, M Neumann, S Guillaso, A Reigber
IEEE Transactions on Geoscience and remote sensing 45 (11), 3503-3518, 2007
Data classification based on PolInSAR coherence shapes
M Neumann, A Reigber, L Ferro-Famil
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium …, 2005
Quantification of selective logging in tropical forest with spaceborne SAR interferometry
Y Lei, R Treuhaft, M Keller, M Dos-Santos, F Gonçalves, M Neumann
Remote sensing of environment 211, 167-183, 2018
Tropical-forest structure and biomass dynamics from TanDEM-X radar interferometry
R Treuhaft, Y Lei, F Gonçalves, M Keller, JR Santos, M Neumann, ...
Forests 8 (8), 277, 2017
Polinsar coherence set theory and application
M Neumann, A Reigber, L Ferro-Famil
Proc. EUSAR, 1-4, 2006
Detection of durable and permanent changes in urban areas using multitemporal polarimetric UAVSAR data
D Kim, S Hensley, SH Yun, M Neumann
IEEE Geoscience and Remote Sensing Letters 13 (2), 267-271, 2016
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