B. Waske

发表

Mapping of hyperspectral AVIRIS data using machine-learning algorithms

J. R. Sveinsson, J. Benediktsson, K. Árnason, 2009 .

Synergies from SAR-Optical Data Fusion for LULC Mapping

B. Waske, 2014 .

Remote Sensing of Urban Environments

C. Small, S. Linden, A. Okujeni, 2013 .

Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion

Björn Waske, Sebastian van der Linden, S. Linden, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Mapping and monitoring of land use changes in post-Soviet western Ukraine using remote sensing data

Björn Waske, Jan Stefanski, Oleh Chaskovskyy, 2014 .

CLASSIFYING MULTILEVEL SEGMENTED TERRASAR-X DATA , USING SUPPORT VECTOR MACHINES

B. Waske, Sascha Klemenjak, 2011 .

Kernel Discriminative Random Fields for land cover classification

Ribana Roscher, Wolfgang Forstner, B. Waske, 2010, 2010 IAPR Workshop on Pattern Recognition in Remote Sensing.

CLASSIFYING SEGMENTED MULTITEMPORAL SAR DATA FROM AGRICULTURAL AREAS USING SUPPORT VECTOR MACHINES

B. Waske, S. Schiefer, 2007 .

Multitemporal optical and radar metrics for wetland mapping at national level in Albania

B. Diekkrüger, B. Waske, Frank Thonfeld, 2020, Heliyon.

On the influence of feature reduction for the classification of hyperspectral images based on the extended morphological profile

J. Chanussot, B. Waske, T. Castaings, 2010 .

Mapping continuous fields of tree and shrub cover across the Gran Chaco using Landsat 8 and Sentinel-1 data

T. Kuemmerle, B. Waske, L. Macchi, 2018, Remote Sensing of Environment.

Expanding temporal resolution in landscape transformations: Insights from a landsat-based case study in Southern Chile

B. Waske, M. Volk, S. Lautenbach, 2017 .

Evaluation of Import Vector Machines for Classifying Hyperspectral Data

W. Förstner, B. Waske, R. Roscher, 2012 .

Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers

B. Waske, B. Schütt, J. Krause, 2019, Journal of Field Archaeology.

Towards Daily High-resolution Inundation Observations using Deep Learning and EO

B. Waske, A. Dasgupta, Lasse Hybbeneth, 2022, ArXiv.

Mapping Chestnut Stands Using Bi-Temporal VHR Data

Björn Waske, Manuel Arbelo, Alfonso Alonso-Benito, 2019, Remote. Sens..

Mapping Lower Saxony's salt marshes using temporal metrics of multi-sensor satellite data

B. Waske, Kim-Jana Stückemann, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines

Patrick Hostert, Sebastian Van der Linden, Andreas Janz, 2007 .

Algorithms and Applications for Land Cover Classification – A Review

Jon Atli Benediktsson, Mingmin Chi, Sebastian van der Linden, 2010 .

Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data

Johannes R. Sveinsson, Jon Atli Benediktsson, Björn Waske, 2009, MCS.

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

Kenneth Grogan, Patrick Hostert, Rasmus Fensholt, 2016, Remote. Sens..

Classifier ensembles for land cover mapping using multitemporal SAR imagery

Björn Waske, Matthias Braun, B. Waske, 2009 .

A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2010 .

Land-Cover Classification of Hypertemporal Data using Ensemble Systems

Björn Waske, Sebastian van der Linden, Thomas Udelhoven, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data

Jon Atli Benediktsson, Patrick Hostert, Björn Waske, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Incremental Import Vector Machines for Classifying Hyperspectral Data

Ribana Roscher, Wolfgang Förstner, Björn Waske, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Incremental import vector machines for large area land cover classification

Ribana Roscher, Wolfgang Förstner, Björn Waske, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Fusion of Support Vector Machines for Classification of Multisensor Data

Jon Atli Benediktsson, Björn Waske, J. Benediktsson, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Fusion of support vector machines for classifying SAR and multispectral imagery from agricultural areas

Jon Atli Benediktsson, Björn Waske, Gunter Menz, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

Peijun Du, Sicong Liu, Björn Waske, 2015 .

Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression

Ribana Roscher, Johannes Rosentreter, Ron Hagensieker, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions

Paul D. Wagner, Björn Waske, Balaji Narasimhan, 2018, Int. J. Appl. Earth Obs. Geoinformation.

In-depth comparisons of MaxEnt, biased SVM and one-class SVM for one-class classification of remote sensing data

Björn Waske, Benjamin Mack, B. Waske, 2017 .

Analyzing Gradual Vegetation Changes in the Athabasca Oil Sands Region Using Landsat Data

B. Waske, A. Dasgupta, Moritz Lucas, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images

Jon Atli Benediktsson, Jocelyn Chanussot, Hugues Talbot, 2010, Pattern Recognit. Lett..

Extended profiles with morphological attribute filters for the analysis of hyperspectral data

Lorenzo Bruzzone, Björn Waske, Mauro Dalla Mura, 2010 .

Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks

Johannes Rosentreter, Ron Hagensieker, Björn Waske, 2020 .

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

Jon Atli Benediktsson, Lorenzo Bruzzone, Björn Waske, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Towards an Optimized Use of the Spectral Angle Space

Patrick Hostert, Björn Waske, Sebastian van der Linden, 2007 .

Effective water surface mapping in macrophyte-covered reservoirs in NE Brazil based on TerraSAR-X time series

Björn Waske, Saskia Foerster, Shuping Zhang, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Can I Trust My One-Class Classification?

Ribana Roscher, Björn Waske, Benjamin Mack, 2014, Remote. Sens..

Decision Fusion, Classification of Multisource Data

Jon Atli Benediktsson, Björn Waske, J. Benediktsson, 2014, Encyclopedia of Remote Sensing.

imageSVM-A USER-ORIENTED TOOL FOR ADVANCED CLASSIFICATION OF HYPERSPECTRAL DATA USING SUPPORT VECTOR MACHINES

Patrick Hostert, Björn Waske, Sebastian van der Linden, 2007 .

Random Feature Selection for Decision Tree Classification of Multi-temporal SAR Data

Björn Waske, Matthias H. Braun, Sebastian Schiefer, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Land surface temperature trends as indicator of land use changes in wetlands

Bernd Diekkrüger, Björn Waske, Frank Thonfeld, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Evaluation of Multi-Frequency SAR Images for Tropical Land Cover Mapping

Ron Hagensieker, Björn Waske, B. Waske, 2018, Remote. Sens..

Machine Learning Techniques in Remote Sensing Data Analysis

Jon Atli Benediktsson, Jocelyn Chanussot, Björn Waske, 2009 .

Semi-Supervised Classifier Ensembles for Classifying Remote Sensing Data

Jon Atli Benediktsson, Björn Waske, J. Benediktsson, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Ensemble Methods for Classification of Hyperspectral Data

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Mapping Land Management Regimes in Western Ukraine Using Optical and SAR Data

Björn Waske, Patrick Griffiths, Tobias Kuemmerle, 2014, Remote. Sens..

The potential of multitemporal and multisensoral remote sensing data for the extraction of biophysical parameters of wheat

Björn Waske, Gunter Menz, Vanessa Heinzel, 2005, SPIE Remote Sensing.

Remote sensing data assimilation for regional crop growth modelling in the region of Bonn (Germany)

Björn Waske, Gunter Menz, Vanessa Heinzel, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data pdf

Ribana Roscher, Johannes Rosentreter, Ron Hagensieker, 2017, Int. J. Appl. Earth Obs. Geoinformation.

imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests

Patrick Hostert, Björn Waske, Sebastian van der Linden, 2012, Environ. Model. Softw..

Mapping raised bogs with an iterative one-class classification approach

Ribana Roscher, Hannes Feilhauer, Sebastian Schmidtlein, 2016 .

Mapping land cover change in northern Brazil with limited training data

Ron Hagensieker, Björn Waske, Merry Crowson, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping

Björn Waske, Jan Stefanski, Benjamin Mack, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series

Björn Waske, Marion Stellmes, Hannes Feilhauer, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Estimating LAI From Winter Wheat Using UAV Data and CNNs

T. Jarmer, B. Waske, D. Trautz, 2022, IEEE Geoscience and Remote Sensing Letters.

Importance of spatially distributed hydrologic variables for land use change modeling

Paul D. Wagner, Björn Waske, B. Waske, 2016, Environ. Model. Softw..

Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images

Ribana Roscher, Björn Waske, B. Waske, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Shapelet-based sparse image representation for landcover classification of hyperspectral data

Ribana Roscher, B. Waske, R. Roscher, 2014, 2014 8th IAPR Workshop on Pattern Reconition in Remote Sensing.

Morphological attribute filters for the analysis of very high resolution remote sensing images

Jon Atli Benediktsson, Lorenzo Bruzzone, Björn Waske, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

I2VM: Incremental import vector machines

W. Förstner, B. Waske, R. Roscher, 2012, Image and Vision Computing.

Import Vector Machines for Quantitative Analysis of Hyperspectral Data

Patrick Hostert, Pedro J. Leitão, Akpona Okujeni, 2014, IEEE Geoscience and Remote Sensing Letters.

Ensemble methods for spectral-spatial classification of urban hyperspectral data

Jon Atli Benediktsson, Björn Waske, Xin-Lu Wang, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Speckle reduction of TerraSAR-X imagery using TV segmentation

Johannes R. Sveinsson, Jon Atli Benediktsson, Björn Waske, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Derivation of stress severities in wheat from hyperspectral data using support vector regression

Björn Waske, J. Franke, Gunter Menz, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Automatic Detection of Rivers in High-Resolution SAR Data

Jocelyn Chanussot, Björn Waske, Silvia Valero, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.