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2020 – today
- 2022
[j5]Na Ma, Anil Mantri, Graham Bough, Ayush Patnaik, Siddhesh Yadav, Christian Nansen, Zhaodan Kong:
Data-driven vermiculite distribution modelling for UAV-based precision pest management. Frontiers Robotics AI 9 (2022)- 2020
- [j4]Hoang Danh Derrick Nguyen, Vincent Pan
, Chi Pham, Rocio Valdez, Khoa Doan, Christian Nansen:
Night-based hyperspectral imaging to study association of horticultural crop leaf reflectance and nutrient status. Comput. Electron. Agric. 173: 105458 (2020)
2010 – 2019
- 2017
- [c2]Keshav D. Singh, Christian Nansen:
Advanced calibration to improve robustness of drone-acquired hyperspectral remote sensing data. Agro-Geoinformatics 2017: 1-6 - 2016
- [c1]Umair Muneer Butt, Sheraz Ahmed, Faisal Shafait, Christian Nansen, Ajmal Saeed Mian, Muhammad Imran Malik:
Automatic Signature Segmentation Using Hyper-Spectral Imaging. ICFHR 2016: 19-24 - 2014
- [j3]Philip Wilcox, Timothy M. Horton, Eunseog Youn, Myong K. Jeong, Derrick Tate, Timothy Herrman, Christian Nansen:
Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality. Intell. Data Anal. 18(1): 25-42 (2014) - 2012
- [j2]Christian Nansen:
Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves. Remote. Sens. 4(1): 180-193 (2012) - 2010
- [j1]Christian Nansen, Noureddine Abidi, Amelia Jorge Sidumo, Ali Hosseini Gharalari:
Using Spatial Structure Analysis of Hyperspectral Imaging Data and Fourier Transformed Infrared Analysis to Determine Bioactivity of Surface Pesticide Treatment. Remote. Sens. 2(4): 908-925 (2010)
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