Björn Waske

发表

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.

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

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

Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images

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

Fusion of multisource data sets from agricultural areas for improved land cover classification

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

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.

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.

Impact of different morphological profiles on the classification accuracy of urban hyperspectral data

Jon Atli Benediktsson, Patrick Hostert, Björn Waske, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Towards an Optimized Use of the Spectral Angle Space

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

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

Peijun Du, Sicong Liu, Björn Waske, 2015 .

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.

RANDOM FORESTS FOR CLASSIFYING MULTI-TEMPORAL SAR DATA

Björn Waske, Matthias Braun, Gunter Menz, 2007 .

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.

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..

Object-based speckle filtering using multisensoral remote sensing data

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

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..

Landcover classification with self-taught learning on archetypal dictionaries

Ribana Roscher, Lutz Plümer, Björn Waske, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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.

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.

Unsupervised river detection in RapidEye data

Jocelyn Chanussot, Björn Waske, Silvia Valero, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

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

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

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.

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

Johannes Rosentreter, Ron Hagensieker, Björn Waske, 2020 .

Import Vector Machines for Quantitative Analysis of Hyperspectral Data

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

Machine Learning Techniques in Remote Sensing Data Analysis

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

Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images

Jon Atli Benediktsson, Jocelyn Chanussot, Hugues Talbot, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

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.

Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields

Ribana Roscher, Björn Waske, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Synergetic potentials of C-band SAR and multi-spectral imagery for tropical classifications in Northern Mato Grosso (BR)

Ron Hagensieker, Björn Waske, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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

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

Pattern Recognition and Classification

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

Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2009, MCS.

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.

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.

Decision Fusion, Classification of Multisource Data

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

Mapping land cover change in northern Brazil with limited training data

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

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.

Mapping Chestnut Stands Using Bi-Temporal VHR Data

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

A Segment-Based Speckle Filter Using Multisensoral Remote Sensing Imagery

Björn Waske, Gunter Menz, Matthias H. Braun, 2007, IEEE Geoscience and Remote Sensing Letters.

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.

Import vector machines based classification of multisensor remote sensing data

Ribana Roscher, Björn Waske, Sascha Klemenjak, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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..

Can I Trust My One-Class Classification?

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

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

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

Importance of spatially distributed hydrologic variables for land use change modeling

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

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.

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 .

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).

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.

I2VM: Incremental import vector machines

Ribana Roscher, Wolfgang Förstner, Björn Waske, 2012, Image Vis. Comput..

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.

Classification of segmented SAR and multispectral satellite imagery using support vector machines

Björn Waske, Matthias Braun, Gunter Menz, 2007 .

Hypertemporal Classification of Large Areas Using Decision Fusion

Björn Waske, Sebastian van der Linden, Thomas Udelhoven, 2009, IEEE Geoscience and Remote Sensing Letters.

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.

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.

Derivation of hydrological parameters from ENVISAT ASAR wide swath data

Ralf Ludwig, Wolfram Mauser, Björn Waske, 2004, IGARSS 2004. 2004 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.

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.

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.

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

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

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

Björn Waske, Jan Stefanski, Oleh Chaskovskyy, 2014 .