Theo dõi
Junho Yeom
Junho Yeom
Email được xác minh tại gnu.ac.kr
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Comparison of vegetation indices derived from UAV data for differentiation of tillage effects in agriculture
J Yeom, J Jung, A Chang, A Ashapure, M Maeda, A Maeda, J Landivar
Remote Sensing 11 (13), 1548, 2019
1182019
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
A Ashapure, J Jung, A Chang, S Oh, J Yeom, M Maeda, A Maeda, N Dube, ...
ISPRS Journal of Photogrammetry and Remote Sensing 169, 180-194, 2020
1142020
Automated open cotton boll detection for yield estimation using unmanned aircraft vehicle (UAV) data
J Yeom, J Jung, A Chang, M Maeda, J Landivar
Remote Sensing 10 (12), 1895, 2018
832018
Validation of agronomic UAV and field measurements for tomato varieties
J Enciso, CA Avila, J Jung, S Elsayed-Farag, A Chang, J Yeom, ...
Computers and Electronics in Agriculture 158, 278-283, 2019
702019
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes
J Jung, M Maeda, A Chang, J Landivar, J Yeom, J McGinty
Computers and Electronics in Agriculture 152, 74-81, 2018
582018
A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data
A Ashapure, J Jung, J Yeom, A Chang, M Maeda, A Maeda, J Landivar
ISPRS Journal of Photogrammetry and Remote Sensing 152, 49-64, 2019
572019
Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality
J Choi, J Yeom, A Chang, Y Byun, Y Kim
IEEE Geoscience and Remote Sensing Letters 10 (3), 490-494, 2012
412012
Unmanned aircraft system‐(UAS‐) based high‐throughput phenotyping (HTP) for tomato yield estimation
A Chang, J Jung, J Yeom, MM Maeda, JA Landivar, JM Enciso, CA Avila, ...
Journal of Sensors 2021 (1), 8875606, 2021
402021
Comparison of canopy shape and vegetation indices of citrus trees derived from UAV multispectral images for characterization of citrus greening disease
A Chang, J Yeom, J Jung, J Landivar
Remote Sensing 12 (24), 4122, 2020
402020
Hurricane building damage assessment using post-disaster UAV data
J Yeom, Y Han, A Chang, J Jung
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
282019
Developing growth‐associated molecular markers via high‐throughput phenotyping in Spinach
HO Awika, R Bedre, J Yeom, TG Marconi, J Enciso, KK Mandadi, J Jung, ...
The Plant Genome 12 (3), 190027, 2019
252019
Improved piecewise linear transformation for precise warping of very-high-resolution remote sensing images
Y Han, T Kim, J Yeom
Remote Sensing 11 (19), 2235, 2019
192019
Detecting damaged building parts in earthquake-damaged areas using differential seeded region growing
J Yeom, M Jung, Y Kim
International journal of remote sensing 38 (4), 985-1005, 2017
182017
Automated coregistration of multisensor orthophotos generated from unmanned aerial vehicle platforms
Y Han, J Choi, J Jung, A Chang, S Oh, J Yeom
Journal of Sensors 2019 (1), 2962734, 2019
172019
Assessing land leveling needs and performance with unmanned aerial system
J Enciso, J Jung, A Chang, JC Chavez, J Yeom, J Landivar, G Cavazos
Journal of Applied Remote Sensing 12 (1), 016001-016001, 2018
172018
Spatial downscaling of MODIS chlorophyll-a with genetic programming in South Korea
H Mohebzadeh, J Yeom, T Lee
Remote Sensing 12 (9), 1412, 2020
132020
Separability analysis and classification of rice fields using KOMPSAT-2 High Resolution Satellite Imagery
J Yeom, Y Han, Y Kim
Res. J. Chem. Environ 17, 136-144, 2013
132013
3D characterization of sorghum panicles using a 3D point cloud derived from UAV imagery
A Chang, J Jung, J Yeom, J Landivar
Remote Sensing 13 (2), 282, 2021
122021
Cotton growth modeling using unmanned aerial vehicle vegetation indices
J Yeom, J Jung, A Chang, M Maeda, J Landivar
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
112017
Measurement of cotton canopy temperature using radiometric thermal sensor mounted on the unmanned aerial vehicle (UAV)
A Chang, J Jung, MM Maeda, JA Landivar, HDR Carvalho, J Yeom
Journal of Sensors 2020 (1), 8899325, 2020
92020
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