フォロー
Ke Zhang
Ke Zhang
Japan International Research Center for Agricultural Sciences
確認したメール アドレス: affrc.go.jp
タイトル
引用先
引用先
Optimization of ground control point distribution for unmanned aerial vehicle photogrammetry for inaccessible fields
K Zhang, H Okazawa, K Hayashi, T Hayashi, L Fiwa, S Maskey
Sustainability 14 (15), 9505, 2022
212022
Assessment of three automated identification methods for ground object based on UAV imagery
K Zhang, S Maskey, H Okazawa, K Hayashi, T Hayashi, A Sekiyama, ...
Sustainability 14 (21), 14603, 2022
42022
Monitoring of crop plant height based on DSM data obtained by small unmanned vehicle considering the difference of plant shapes.
K Zhang, O Tsuji, M Kimura, K Hoshiyama
32020
Precise LULC classification of rural area combining elevational and reflectance characteristics using UAV
K Zhang, L Fiwa, M Kurata, H Okazawa, KAB Luweya, MSH Mandal, ...
Scientific African, e02431, 2024
2024
Verifying Optimum Flying Conditions for UAV Photogrammetry in Assessing Hydro-structural Facilities
S MASKEY, H ISEKI, K KURASHINA, KE ZHANG, H OKAZAWA
International Journal of Environmental and Rural Development 14 (1), 119-125, 2023
2023
Comparison of Crop Surface Models and 3D Point Clouds by UAV Imagery on Estimating Plant Height and Biomass Volume of Pasture Grass
KE ZHANG, A SEKIYAMA, H OKAZAWA, Y YAMAZAKI, K HAYASHI, ...
International Journal of Environmental and Rural Development 13 (2), 137-143, 2022
2022
Relationship between NDVI and canopy cover sensed by small UAV under different ground resolution.
K Zhang, H Okazawa, Y Yamazaki, K Hayashi, O Tsuji
2022
High-Precision LULC Classification of a Rural Area in Malawi Considering Building Characteristics Using Unmanned Aerial Vehicle Imagery
K Zhang, L Fiwa, M Kurata, H Okazawa, KAB Luweya, MSH Mandal, ...
Available at SSRN 4758579, 0
Development of Methods for Crop Growth Assessment Using UAV Aerial Images
張可
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–9