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Sebastian Briechle

University of Twente

Netherlands

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Research Interests

Cartography

20%

Ecology

30%

Remote Sensing

30%

Lidar Technology

30%

Convolutional Neural Network

20%

Computer Vision

20%

Vegetation Dynamics

20%

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Articles4

Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net

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Year:

2022

Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data

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Year:

2021

CLASSIFICATION OF TREE SPECIES AND STANDING DEAD TREES BY FUSING UAV-BASED LIDAR DATA AND MULTISPECTRAL IMAGERY IN THE 3D DEEP NEURAL NETWORK POINTNET++

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Year:

2020

Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery

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Year:

2020

Collaborators2

Peter Krzystek

Professor

Munich University of Applied Sciences

GERMANY

Melanie Brandmeier

Professor

Technical University of Applied Sciences Würzburg-Schweinfurt

GERMANY

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