C. Thiel

发表

Learning of Decision Fusion Mappings for Pattern Recognition

G. Palm, F. Schwenker, C. Dietrich, 2006 .

One-Class Support-Vector Machines for the Classification of Bioacoustic Time Series

F. Schwenker, C. Thiel, Andreas Sachs, 2006 .

Automated annotation of Orthoptera songs: first results from analysing the DORSA sound repository

F. Schwenker, K. Riede, C. Dietrich, 2006 .

Object based classification of SAR data for the delineation of forest cover maps and the detection of deforestation – A viable procedure and its application in GSE Forest Monitoring

C. Schmullius, T. Riedel, C. Thiel, 2008 .

Non-Parametric Retrieval of Aboveground Biomass in Siberian Boreal Forests with ALOS PALSAR Interferometric Coherence and Backscatter Intensity

Christian Thiel, Christiane Schmullius, Heiko Balzter, 2015, J. Imaging.

Remote Sensing for Aboveground Biomass Estimation in Boreal Forests

Christiane Schmullius, Martyna A. Stelmaszczuk-Górska, C. Schmullius, 2017 .

Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Christiane Schmullius, Markus Reichstein, Mirco Migliavacca, 2016 .

Forest mapping of the Northern Hemisphere with spaceborne radar

C. Schmullius, C. Beer, M. Santoro, 2010 .

Analysis of ASAR and PALSAR data for optimizing forest cover mapping - A GSE Forest Monitoring study

Christiane Schmullius, Reik Leiterer, Johannes Reiche, 2007 .

UAV BASED MULTI SEASONAL DECIDUOUS TREE SPECIES ANALYSIS IN THE HAINICH NATIONAL PARK USING MULTI TEMPORAL AND POINT CLOUD CURVATURE FEATURES

S. Hese, C. Thiel, A. Henkel, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico

Christiane Schmullius, Markus Reichstein, Mirco Migliavacca, 2018, Carbon Balance and Management.

Radar remote sensing for the delineation of forest cover maps and the detection of deforestation

S. Quegan, C. Schmullius, P. Drezet, 2006 .

Estimating tree height from TanDEM-X data at the northwestern Canadian treeline

B. Höfle, J. Boike, S. Zwieback, 2019, Remote Sensing of Environment.

C Science Report – Phase 1 Forestry Theme – Boreal Forest Mapping in Siberia

C. Thiel, 2009 .

Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico

Christian Thiel, Christiane Schmullius, Markus Reichstein, 2018, Remote. Sens..

Multiple Classifier Systems Incorporating Uncertainty

Christian Thiel, C. Thiel, 2011 .

Classification on Soft Labels Is Robust against Label Noise

Christian Thiel, C. Thiel, 2008, KES.

Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europe

C. Schmullius, T. Riedel, C. Thiel, 2008 .

Comparison of Neural Classification Algorithms Applied to Land Cover Mapping

Günther Palm, Friedhelm Schwenker, Ferdinando Giacco, 2009, WIRN.

Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines

Friedhelm Schwenker, Stefan Scherer, Christian Thiel, 2007, KES.

A Multi-Scale Remote Sensing Approach to Understanding Vegetation Dynamics in the Nama Karoo-Grassland Ecotone of South Africa

C. Schmullius, A. Kaiser, C. Berger, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Influence of diurnal variations of surface wetness on classification of agricultural crops using multi-parametric E-SAR data with respect to future TerraSAR applications

M. Herold, C. Schmullius, A. Müller, 2002 .

Estimation of Above-Ground Biomass over Boreal Forests in Siberia Using Updated In Situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data

Christian Thiel, Christiane Schmullius, Mikhail Urbazaev, 2018, Remote. Sens..

UAS Imagery-Based Mapping of Coarse Wood Debris in a Natural Deciduous Forest in Central Germany (Hainich National Park)

Christian Thiel, Sören Hese, Michael Voltersen, 2020, Remote. Sens..

Using Dempster-Shafer Theory in MCF Systems to Reject Samples

Günther Palm, Friedhelm Schwenker, Christian Thiel, 2005, Multiple Classifier Systems.

Application of Self Organizing Maps to multi-resolution and multi-spectral remote sensed images

Silvia Scarpetta, Maria Marinaro, Ferdinando Giacco, 2009, WIRN.

Polarimetric Parameters for Growing Stock Volume Estimation Using ALOS PALSAR L-Band Data over Siberian Forests

Christian Thiel, Christiane Schmullius, Martyna A. Stelmaszczuk-Górska, 2013, Remote. Sens..

Uncertainty Analysis for the Classification of Multispectral Satellite Images Using SVMs and SOMs

Silvia Scarpetta, Maria Marinaro, Ferdinando Giacco, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

Jocelyn Chanussot, Paolo Gamba, Emmanuel Christophe, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Potential of Recurrence Metrics from Sentinel-1 Time Series for Deforestation Mapping

Christian Thiel, John Truckenbrodt, Mikhail Urbazaev, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory

Günther Palm, Friedhelm Schwenker, Christian Thiel, 2006, ANNPR.

Annual Grass Biomass Mapping with Landsat-8 and Sentinel-2 Data Over Kruger National Park, South Africa

C. Schmullius, C. Berger, I. Smit, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.