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Jakob Geipel
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2020 – today
- 2026
[j5]Jiangsan Zhao, Jakob Geipel
:
Super-resolve satellite imagery to perform on par with UAV-borne hyperspectral imagery in predicting spring wheat physiological parameters using transformer models. Comput. Electron. Agric. 240: 111204 (2026)
[i2]Jiangsan Zhao, Jakob Geipel, Krzysztof Kusnierek:
From Implicit Ambiguity to Explicit Solidity: Diagnosing Interior Geometric Degradation in Neural Radiance Fields for Dense 3D Scene Understanding. CoRR abs/2601.21421 (2026)- 2025
[i1]Jiangsan Zhao, Jakob Geipel, Krzysztof Kusnierek, Xuean Cui:
InvNeRF-Seg: Fine-Tuning a Pre-Trained NeRF for 3D Object Segmentation. CoRR abs/2504.05751 (2025)- 2023
[j4]Jiangsan Zhao
, Therese With Berge
, Jakob Geipel
:
Transformer in UAV Image-Based Weed Mapping. Remote. Sens. 15(21): 5165 (2023)- 2022
[j3]Wiktor R. Zelazny
, Krzysztof Kusnierek
, Jakob Geipel
:
Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity. Remote. Sens. 14(23): 5977 (2022)
2010 – 2019
- 2015
[j2]Jakob Geipel
, Markus Jackenkroll, Martin Weis, Wilhelm Claupein:
A Sensor Web-Enabled Infrastructure for Precision Farming. ISPRS Int. J. Geo Inf. 4(1): 385-399 (2015)- 2014
[j1]Jakob Geipel
, Johanna Link, Wilhelm Claupein:
Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System. Remote. Sens. 6(11): 10335-10355 (2014)- 2011
[c1]Jakob Geipel, Christian Knoth, Olga Elsässer, Torsten Prinz:
DGPS- and INS-Based Orthophotogrammetry on Micro UAV Platforms for Precision Farming Services. Geoinformatik 2011: 193-198
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