Ziyi Feng
Ziyi Feng
Finnish Geospatial Research Institute
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Is field-measured tree height as reliable as believed–A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning …
Y Wang, M Lehtomäki, X Liang, J Pyörälä, A Kukko, A Jaakkola, J Liu, ...
ISPRS Journal of Photogrammetry and Remote Sensing 147, 132-145, 2019
A MEMS IMU De-Noising Method Using Long Short Term Memory Recurrent Neural Networks (LSTM-RNN)
C Jiang, S Chen, Y Chen, B Zhang, Z Feng, H Zhou, Y Bo
Sensors 18 (10), 3470, 2018
Feasibility Study of Ore Classification Using Active Hyperspectral LiDAR
Y Chen, C Jiang, J Hyyppä, S Qiu, Z Wang, M Tian, W Li, E Puttonen, ...
IEEE Geoscience and Remote Sensing Letters 15 (11), 1785-1789, 2018
Performance Analysis of a Deep Simple Recurrent Unit Recurrent Neural Network (SRU-RNN) in MEMS Gyroscope De-Noising
C Jiang, S Chen, Y Chen, Y Bo, L Han, J Guo, Z Feng, H Zhou
Sensors 18 (12), 4471, 2018
Range calibration of airborne profiling radar used in forest inventory
Z Feng, Y Chen, T Hakala, J Hyyppä
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants from Terrestrial Laser Scanning Time Series
E Puttonen, M Lehtomäki, P Litkey, R Näsi, Z Feng, X Liang, S Wittke, ...
Frontiers in Plant Science 10, 486, 2019
Estimating Ground Level and Canopy Top Elevation With Airborne Microwave Profiling Radar
Z Feng, Y Chen, J Hyyppä, T Hakala, H Zhou, Y Wang, M Karjalainen
IEEE Transactions on Geoscience and Remote Sensing 56 (4), 2283-2294, 2018
Feasibility of Mobile Laser Scanning towards Operational Accurate Road Rut Depth Measurements
A El Issaoui, Z Feng, M Lehtomäki, E Hyyppä, H Hyyppä, H Kaartinen, ...
Sensors 21 (4), 1180, 2021
The Comparison of Canopy Height Profiles Extracted from Ku-band Profile Radar Waveforms and LiDAR Data
H Zhou, Y Chen, Z Feng, F Li, J Hyyppä, T Hakala, M Karjalainen, C Jiang, ...
Remote Sensing 10 (5), 701, 2018
Possibility of applying SLAM-aided LiDAR in deep space exploration
Y Chen, J Tang, Z Feng, T Hakala, J Hyyppä, C Zhou, L Tang, C Li
3rd International Symposium of Space Optical Instruments and Applications …, 2017
Pavement distress detection using terrestrial laser scanning point clouds–Accuracy evaluation and algorithm comparison
Z Feng, A El Issaoui, M Lehtomäki, M Ingman, H Kaartinen, A Kukko, ...
ISPRS Open Journal of Photogrammetry and Remote Sensing 3, 100010, 2022
Estimation of Canopy Height Using an AirborneKu-Band Frequency-Modulated Continuous Waveform Profiling Radar
H Zhou, Y Chen, J Hyyppä, Z Feng, F Li, T Hakala, X Xu, X Zhu
IEEE Journal of selected topics in applied earth observations and remote …, 2018
Simulation of Ku-band profile radar waveform by extending radiosity applicable to porous individual objects (RAPID2) model
K Du, H Huang, Y Zhu, Z Feng, T Hakala, Y Chen, J Hyyppä
Remote Sensing 12 (4), 684, 2020
Effectiveness Analysis of the Covariance Matrix for Spoofing Detection Application
C Jiang, S Chen, B Zhang, Y Chen, Y Bo, Z Feng
2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services …, 2018
Using Microwave Profile Radar to Estimate Forest Canopy Leaf Area Index: Linking 3D Radiative Transfer Model and Forest Gap Model
K Du, H Huang, Z Feng, T Hakala, Y Chen, J Hyyppä
Remote Sensing 13 (2), 297, 2021
Lidar-aided analysis of boreal forest backscatter at Ku band
Y Chen, Z Feng, F Li, H Zhou, T Hakala, M Karjalainen, J Hyyppä
International Journal of Applied Earth Observation and Geoinformation 91, 102133, 2020
The Determination of Effective Beamwidth of Ku Band Profiling Radar Based on Waveform Matching Method in the Boreal Forest of Finland
H Zhou, Y Chen, N Hu, Y Dong, X Xu, Z Feng, T Hakala, J Hyyppä
Remote Sensing 12 (17), 2710, 2020
The Penetration Analysis of Airborne Ku-Band Radar versus Satellite Infrared Lidar Based on the Height and Energy Percentiles in the Boreal Forest
H Zhou, Y Chen, T Hakala, Z Feng, C Jiang, J Jia, H Sun, J Hyyppä
Remote Sensing 13 (9), 1650, 2021
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