Detecting Historical Terrain Anomalies with UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines von Storch, Marcel, de Lange, Norbert, Jarmer, Thomas, Waske, Bjorn

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Towards robust validation strategies for EO flood maps von Landwehr, Tim, Dasgupta, Antara, Waske, Björn

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Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images von Roscher, Ribana, Waske, Bjorn

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Analyzing Gradual Vegetation Changes in the Athabasca Oil Sands Region Using Landsat Data von Lucas, Moritz, Dasgupta, Antara, Waske, Bjorn

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Classifier ensembles for land cover mapping using multitemporal SAR imagery von Waske, Björn, Braun, Matthias

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Importance of spatially distributed hydrologic variables for land use change modeling von Wagner, Paul D., Waske, Björn

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Can I Trust My One-Class Classification? von Mack, Benjamin, Roscher, Ribana, Waske, Björn

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Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data von Stückemann, Kim-Jana, Waske, Björn

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Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data von Hagensieker, Ron, Roscher, Ribana, Rosentreter, Johannes, Jakimow, Benjamin, Waske, Björn

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Morphological Attribute Profiles for the Analysis of Very High Resolution Images von Dalla Mura, M, Atli Benediktsson, J, Waske, B, Bruzzone, L

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Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks von Rosentreter, Johannes, Hagensieker, Ron, Waske, Björn

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Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features von Du, Peijun, Samat, Alim, Waske, Björn, Liu, Sicong, Li, Zhenhong

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Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data von Waske, Björn, van der Linden, Sebastian, Benediktsson, Jón Atli, Rabe, Andreas, Hostert, Patrick

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Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions von Steinhausen, Max J., Wagner, Paul D., Narasimhan, Balaji, Waske, Björn

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Multi-Stage Feature Fusion of Multispectral and SAR Satellite Images for Seasonal Crop-Type Mapping at Regional Scale Using an Adapted 3D U-Net Model von Wittstruck, Lucas, Jarmer, Thomas, Waske, Björn

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A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring von Joshi, Neha, Baumann, Matthias, Ehammer, Andrea, Fensholt, Rasmus, Grogan, Kenneth, Hostert, Patrick, Jepsen, Martin, Kuemmerle, Tobias, Meyfroidt, Patrick, Mitchard, Edward, Reiche, Johannes, Ryan, Casey, Waske, Björn

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Evaluation of Multi-Frequency SAR Images for Tropical Land Cover Mapping von Hagensieker, Ron, Waske, Björn

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Mapping and monitoring of land use changes in post-Soviet western Ukraine using remote sensing data von Stefanski, Jan, Chaskovskyy, Oleh, Waske, Björn

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Mapping raised bogs with an iterative one-class classification approach von Mack, Benjamin, Roscher, Ribana, Stenzel, Stefanie, Feilhauer, Hannes, Schmidtlein, Sebastian, Waske, Björn

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imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests von Waske, Björn, van der Linden, Sebastian, Oldenburg, Carsten, Jakimow, Benjamin, Rabe, Andreas, Hostert, Patrick

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