مقاله‌های دارای تعهدات انتشار عمومی - Björn Waskeبیشتر بدانید
جای دیگری دردسترس نیست: ۹
Random forest and rotation forest for fully polarized SAR image classification using polarimetric and spatial features
P Du, A Samat, B Waske, S Liu, Z Li
ISPRS journal of photogrammetry and remote sensing 105, 38-53, 2015
تعهدات: National Natural Science Foundation of China
Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions
MJ Steinhausen, PD Wagner, B Narasimhan, B Waske
International journal of applied earth observation and geoinformation 73 …, 2018
تعهدات: Department of Science & Technology, India, Federal Ministry of Education and …
Bathymetric survey of water reservoirs in north-eastern Brazil based on TanDEM-X satellite data
S Zhang, S Foerster, P Medeiros, JC de Araújo, M Motagh, B Waske
Science of the Total Environment 571, 575-593, 2016
تعهدات: Federal Ministry of Education and Research, Germany
Mapping and monitoring of land use changes in post-Soviet western Ukraine using remote sensing data
J Stefanski, O Chaskovskyy, B Waske
Applied Geography 55, 155-164, 2014
تعهدات: German Research Foundation
Mapping raised bogs with an iterative one-class classification approach
B Mack, R Roscher, S Stenzel, H Feilhauer, S Schmidtlein, B Waske
ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64, 2016
تعهدات: German Research Foundation
Import vector machines for quantitative analysis of hyperspectral data
S Suess, S van der Linden, PJ Leitão, A Okujeni, B Waske, P Hostert
IEEE Geoscience and Remote Sensing Letters 11 (2), 449-453, 2013
تعهدات: UK Natural Environment Research Council
Fusion of support vector machines for classifying SAR and multispectral imagery from agricultural areas
B Waske, G Menz, JA Benediktsson
2007 IEEE International Geoscience and Remote Sensing Symposium, 4842-4845, 2007
تعهدات: German Research Foundation
Mapping Trees Outside Forests Using Semantic Segmentation
M Lucas, V Barkov, R Pecenka, M Atzmueller, B Waske
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024
تعهدات: Volkswagen Foundation
Synergetic potentials of C-band SAR and multi-spectral imagery for tropical classifications in Northern Mato Grosso (BR)
R Hagensieker, B Waske
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
تعهدات: German Research Foundation
جای دیگری دردسترس است: ۲۰
A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring
N Joshi, M Baumann, A Ehammer, R Fensholt, K Grogan, P Hostert, ...
Remote Sensing 8 (1), 70, 2016
تعهدات: German Research Foundation, Volkswagen Foundation, UK Natural Environment …
Fusion of support vector machines for classification of multisensor data
B Waske, JA Benediktsson
IEEE Transactions on geoscience and remote sensing 45 (12), 3858-3866, 2007
تعهدات: German Research Foundation
Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines
S Van der Linden, A Janz, B Waske, M Eiden, P Hostert
Journal of Applied Remote Sensing 1 (1), 013543, 2007
تعهدات: German Research Foundation
Land surface temperature trends as indicator of land use changes in wetlands
J Muro, A Strauch, S Heinemann, S Steinbach, F Thonfeld, B Waske, ...
International Journal of Applied Earth Observation and Geoinformation 70, 62-71, 2018
تعهدات: European Commission, Federal Ministry of Education and Research, Germany
Mapping continuous fields of tree and shrub cover across the Gran Chaco using Landsat 8 and Sentinel-1 data
M Baumann, C Levers, L Macchi, H Bluhm, B Waske, NI Gasparri, ...
Remote sensing of environment 216, 201-211, 2018
تعهدات: German Research Foundation, Federal Ministry of Education and Research …
imageSVM—A useroriented tool for advanced classification of hyperspectral data using support vector machines
A Janz, S Van Der Linden, B Waske, P Hostert
Proceedings of the EARSeL SIG Imaging Spectroscopy, Bruges, Belgium, 2007
تعهدات: German Research Foundation
Can i trust my one-class classification?
B Mack, R Roscher, B Waske
Remote Sensing 6 (9), 8779-8802, 2014
تعهدات: German Research Foundation
Mapping land management regimes in western Ukraine using optical and SAR data
J Stefanski, T Kuemmerle, O Chaskovskyy, P Griffiths, V Havryluk, J Knorn, ...
Remote Sensing 6 (6), 5279-5305, 2014
تعهدات: German Research Foundation
Shapelet-based sparse representation for landcover classification of hyperspectral images
R Roscher, B Waske
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1623-1634, 2015
تعهدات: German Research Foundation
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields
R Roscher, B Waske
2014 IEEE Geoscience and Remote Sensing Symposium, 3674-3677, 2014
تعهدات: German Research Foundation
Multitemporal optical and radar metrics for wetland mapping at national level in Albania
J Muro, A Varea, A Strauch, A Guelmami, E Fitoka, F Thonfeld, ...
Heliyon 6 (8), 2020
تعهدات: European Commission
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