Jürgen Oberst

According to our database, Jürgen Oberst authored at least 8 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

High-fidelity lunar topographic reconstruction across diverse terrain and illumination environments using deep learning.

Hao Chen, Philipp Gläser, Konrad Willner, Jürgen Oberst

CoRR, January, 2026

2024

ELunarDTMNet: Efficient Reconstruction of High-Resolution Lunar DTM From Single-View Orbiter Images.

Hao Chen, Philipp Gläser, Xuanyu Hu, Konrad Willner, Yongjie Zheng, Friedrich Damme, Lorenzo Bruzzone, Jürgen Oberst

IEEE Trans. Geosci. Remote. Sens., 2024

Deforestation detection from spaceborne full-waveform laser altimetry, incorporating terrain effects: A case study in Porto Velho, Brazil.

Min Ji, Huan Xie, Jürgen Oberst, Qi Xu, Yuan Sun, Sicong Liu, Changda Liu, Xiaohua Tong

Int. J. Appl. Earth Obs. Geoinformation, 2024

Deep Learning-Based Modeling of High-Resolution Lunar Topography Using Orbiter Imagery.

Hao Chen, Philipp Gläser, Xuanyu Hu, Konrad Willner, Jürgen Oberst

Proceedings of the IGARSS 2024, 2024

2023

Detection of Detached Ice-fragments at Martian Polar Scarps Using a Convolutional Neural Network.

Shu Su, Lida Fanara, Haifeng Xiao, Ernst Hauber, Jürgen Oberst

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022

CNN-Based Large Area Pixel-Resolution Topography Retrieval From Single-View LROC NAC Images Constrained With SLDEM.

Hao Chen, Xuanyu Hu, Philipp Gläser, Haifeng Xiao, Zhen Ye, Hanyue Zhang, Xiaohua Tong, Jürgen Oberst

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Recomputation and Updating of MOLA Geolocation.

Haifeng Xiao, Alexander Stark, Hao Chen, Jürgen Oberst

Remote. Sens., 2022

2018

Automated detection of block falls in the north polar region of Mars.

Lida Fanara, K. Gwinner, Ernst Hauber, Jürgen Oberst

CoRR, 2018