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2020 – today
- 2024
[j6]Sarah Hauser
, Michael Ruhhammer, Andreas Schmitt, Peter Krzystek:
An Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series. Remote. Sens. 16(3): 488 (2024)- 2021
- [j5]Sebastian Briechle, Peter Krzystek, George Vosselman:
Silvi-Net - A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 98: 102292 (2021) - 2020
- [j4]Peter Krzystek, Alla Serebryanyk, Claudius Schnörr, Jaroslav Cervenka, Marco Heurich:
Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery. Remote. Sens. 12(4): 661 (2020)
2010 – 2019
- 2019
- [j3]Nina Amiri, Peter Krzystek, Marco Heurich, Andrew K. Skidmore:
Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest. Remote. Sens. 11(22): 2614 (2019) - 2016
- [j2]Nina Amiri, Wei Yao, Marco Heurich, Peter Krzystek, Andrew K. Skidmore:
Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data. Int. J. Appl. Earth Obs. Geoinformation 52: 252-262 (2016) - [j1]Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla:
Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2910-2922 (2016) - 2015
- [c2]Przemyslaw Polewski, Wei Yao, Marco Heurich, Peter Krzystek, Uwe Stilla:
Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery. CVPR Workshops 2015: 10-18 - 2011
- [c1]Matthias Rentsch, Alfons Krismann, Peter Krzystek:
Extraction of Non-forest Trees for Biomass Assessment Based on Airborne and Terrestrial LiDAR Data. PIA 2011: 121-132
Coauthor Index
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