Maxim Neumann
Maxim Neumann
Dirección de correo verificada de
Citado por
Citado por
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
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
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
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, 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
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
Ph. D. dissertation, Univ. Rennes, Rennes, France, 2009
A general model-based polarimetric decomposition scheme for vegetated areas
M Neumann, L Ferro-Famil, E Pottier
Proc. POLINSAR, Frascati, 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
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
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
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
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
Data classification based on PolInSAR coherence shapes
M Neumann, A Reigber, L Ferro-Famil
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium …, 2005
Evaluating PolInSAR parameter estimation using tomographic imaging results
A Reigber, M Neumann, S Guillaso, S Sauer, L Ferro-Famil
European Radar Conference, 2005. EURAD 2005., 189-192, 2005
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
Forest structure estimation using space borne polarimetric radar: An ALOS PALSAR case study
S Cloude, E Chen, Z Li, X Tian, Y Pang, S Li, E Pottier, L Ferro-Famil, ...
Proceedings Dragon 1 Programme Final Results 2004-2007, 2008
Polinsar coherence set theory and application
M Neumann, A Reigber, L Ferro-Famil
Proc. EUSAR, 1-4, 2006
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20