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Ziyi Feng
Ziyi Feng
Finnish Geospatial Research Institute
Verified email at maanmittauslaitos.fi
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Year
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
2402019
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
1032018
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
452018
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
352018
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
172021
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
162022
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
162019
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
122018
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
122016
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
72018
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
72017
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
42020
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
42018
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
32020
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
22021
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
22018
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
12020
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
2021
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