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2022
Kanerva, Heini; Honkavaara, Eija; Näsi, Roope; Hakala, Teemu et al.
2022.
Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †.
Remote sensing, 14(24), 6257.
Kankare, Ville; Saarinen, Ninni; Pyörälä, Jiri; Yrttimaa, Tuomas et al.
2022.
Assessing the Dependencies of Scots Pine (Pinus sylvestris L.) Structural Characteristics and Internal Wood Property Variation.
Forests, 13(3), 397.
Karila, Kirsi; Alves Oliveira, Raquel; Ek, Johannes; Kaivosoja, Jere et al.
2022.
Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks.
MDPI AG.
Remote sensing, 14(11), 2692.
Lehtola, Ville V.; Hyyti, Heikki; Malkamäki, Tuomo.
2022.
Why It Makes Sense to Use High Cost Sensors to Do Low Cost Sensor Research.
Copernicus GmbH.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W1-2022.
Li, Fashuai; Zhou, Zhize; Xiao, Jianhua; Chen, Ruizhi et al.
2022.
Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data.
IEEE.
IEEE transactions on intelligent transportation systems, 23(10).
Liang, Xinlian; Kukko, Antero; Balenovic, Ivan; Saarinen, Ninni et al.
2022.
Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions.
IEEE geoscience and remote sensing magazine, 10(3).
Lin, Yi; Hyyppä, Juha.
2022.
Towards 3D basic theories of plant forms.
Springer Science and Business Media LLC.
Communications Biology, 5(1), 703.
Liu, Boyu; Yu, Yongli; Hu, Zhennan; Li, Mengke et al.
2022.
Ag metal interconnect wires formed by pseudoplastic nanoparticles fluid imprinting lithography with microwave assistant sintering.
IOP Publishing.
Nanotechnology, 33(27), 275301.
Lotsari, Eliisa; Lintunen, Karoliina; Kasvi, Elina; Alho, Petteri et al.
2022.
The impacts of near-bed flow characteristics on river bed sediment transport under ice-covered conditions in 2016–2021.
Elsevier.
Journal of hydrology, 615(Part A), 128610.
Ma, Hao; Yin, De-Yu.; Liu, Jing-Bin; Chen, Rui-Zhi.
2022.
3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration.
Elsevier BV.
Optics & Laser Technology, 149, 107860.
Maanpää, Jyri; Melekhov, Iaroslav; Taher, Josef; Manninen, Petri et al.
2022.
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task.
SPRINGER.
Lecture notes in computer science, 13231 LNCS.
Manninen, Petri; Hyyti, Heikki; Kyrki, Ville; Maanpää, Jyri et al.
2022.
Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity.
Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, 2652.
Nex, Francesco; Armenakis, Costas; Cramer, Michael; Cucci, Davide A. et al.
2022.
UAV in the advent of the twenties: Where we stand and what is next.
ELSEVIER SCIENCE B.V..
Isprs journal of photogrammetry and remote sensing, 184.
Pohjavirta, Onni; Liang, Xinlian; Wang, Yunsheng; Kukko, Antero et al.
2022.
Automated registration of wide-baseline point clouds in forests using discrete overlap search.
Elsevier BV.
Forest ecosystems, 9, 100080.
Poorazimy, Maryam; Ronoud, Ghasem; Yu, Xiaowei; Luoma, Ville et al.
2022.
Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests.
Remote sensing, 14(19), 4845.
Ronoud, Ghasem; Poorazimy, Maryam; Yrttimaa, Tuomas; Luoma, Ville et al.
2022.
Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests.
MDPI AG.
Remote sensing, 14(20), 5196.
Rönnholm, P.; Wittke, S.; Ingman, M.; Putkiranta, P. et al.
2022.
UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS.
Copernicus GmbH.
International archives of the photogrammetry, remote sensing and spatial information sciences, 43.
Saarinen, Ninni; Kankare, Ville; Huuskonen, Saija; Hynynen, Jari et al.
2022.
Effects of stem density on crown architecture of Scots pine trees.
Frontiers in plant science, 13, 817792.
Salmela, Jouni; Saarni, Saija; Blåfield, Linnea; Katainen, Markus et al.
2022.
Comparison of cold season sedimentation dynamics in the non-tidal estuary of the Northern Baltic Sea.
Elsevier.
Marine geology, 443, 106701.
Santos, Lucas D.; Tommaselli, Antonio M.G.; Berveglieri, Adilson; Imai, Nilton N. et al.
2022.
Geometric calibration of a hyperspectral frame camera with simultaneous determination of sensors misalignment.
Elsevier BV.
ISPRS Open Journal of Photogrammetry and Remote Sensing, 4, 100015.
Shao, Hui; Cao, Zheng; Li, Wei; Chen, Yuwei et al.
2022.
Feasibility Study of Wood-Leaf Separation Based on Hyperspectral LiDAR Technology in Indoor Circumstances.
IEEE.
IEEE journal of selected topics in applied earth observations and remote sensing, 15.
Shao, Hui; Sa, Beining; Li, Wei; Chen, Yuwei et al.
2022.
A design and implementation of full waveform hyperspectral LiDAR for ancient architecture modelling.
China Aerospace Science and Industry Corporation Limited.
Infrared and Laser Engineering, 51(8), 20210786.
Simula, J.; Holopainen, Markus; Imangholiloo, Mohammad.
2022.
UTILIZING SINGLE PHOTON LASER SCANNING DATA FOR ESTIMATING INDIVIDUAL TREE ATTRIBUTES.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2022.
Soininen, Valtteri; Kukko, Antero; Yu, Xiaowei; Kaartinen, Harri et al.
2022.
Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data.
MDPI AG.
Forests, 13(12), 2040.
Sun, Haibin; Liu, Xiaolong; Zhao, Li; Jia, Jianxin et al.
2022.
Mid-long wavelength infrared absorptance of hyperdoped silicon via femtosecond laser microstructuring.
Optica Publishing Group.
Optics express, 30(2).
Sun, Haibin; Wang, Zhen; Chen, Yuwei; Tian, Wenxin et al.
2022.
Preliminary verification of hyperspectral LiDAR covering VIS-NIR-SWIR used for objects classification.
Informa UK Limited.
European Journal of Remote Sensing, 55(1).
Taher, Josef; Hakala, Teemu; Jaakkola, Anttoni; Hyyti, Heikki et al.
2022.
Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception.
MDPI AG.
Sensors, 22(15), 5759.
Tian, Wenxin; Tang, Lingli; Chen, Yuwei; Li, Ziyang et al.
2022.
Plant Species Classification Using Hyperspectral LiDAR with Convolutional Neural Network.
IEEE.
IEEE International geoscience and remote sensing symposium proceedings.
Tienaho, Noora; Yrttimaa, Tuomas; Kankare, Ville; Vastaranta, Mikko et al.
2022.
Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds.
MDPI AG.
Forests, 13(8), 1305.
Tolometti, G. D.; Neish, C. D.; Hamilton, C. W.; Osinski, G. R. et al.
2022.
Differentiating Fissure‐Fed Lava Flow Types and Facies Using RADAR and LiDAR: An Example From the 2014–2015 Holuhraun Lava Flow‐Field.
American Geophysical Union (AGU).
Journal of Geophysical Research: Solid Earth, 127(7), e2021JB023419.
Vastaranta, Mikko; Wulder, Michael A.; Hamari, Juho; Hyyppä, Juha et al.
2022.
Forest Data to Insights and Experiences Using Gamification.
Frontiers in forests and global change, 5, 799346.
Wang, Di; Puttonen, Eetu; Casella, Eric.
2022.
PlantMove: A tool for quantifying motion fields of plant movements from point cloud time series.
Elsevier BV.
International Journal of Applied Earth Observation and Geoinformation, 110, 102781.
Xu, Dong; Liu, Jingbin; Hyyppä, Juha; Liang, Yifan et al.
2022.
A heterogeneous 3D map-based place recognition solution using virtual LiDAR and a polar grid height coding image descriptor.
Elsevier.
Isprs journal of photogrammetry and remote sensing, 183.
Xu, Dong; Liu, Jingbin; Liang, Yifan; Lv, Xuanfan et al.
2022.
A LiDAR-based single-shot global localization solution using a cross-section shape context descriptor.
Elsevier BV.
ISPRS Journal of Photogrammetry and Remote Sensing, 189.
Xu, Haoyuan; Wang, Chaochen; Bo, Yuming; Jiang, Changhui et al.
2022.
An Aerial and Ground Multi-Agent Cooperative Location Framework in GNSS-Challenged Environments.
MDPI AG.
Remote Sensing, 14(19), 5055.
Xue, Tianru; Jia, Jianxin; Xie, Hui; Zhang, Changxing et al.
2022.
Kernel Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral Anomaly Detection.
MDPI AG.
Remote Sensing, 14(20), 5157.
Yang, Fan; Li, Lu-Ning; Xu, Wei-Ming; Liu, Xiang-Feng et al.
2022.
Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission.
Elsevier BV.
Spectrochimica Acta Part B: Atomic Spectroscopy, 192, 106417.
Yang, Fan; Xu, Weiming; Cui, Zhicheng; Liu, Xiangfeng et al.
2022.
Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments.
MDPI AG.
Remote Sensing, 14(21), 5343.
Yli-Heikkila, Maria; Wittke, Samantha; Luotamo, Markku; Puttonen, Eetu et al.
2022.
Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network.
MDPI AG.
Remote sensing, 14(17), 4193.
Yrttimaa, Tuomas; Luoma, Ville; Saarinen, Ninni; Kankare, Elina et al.
2022.
Exploring tree growth allometry using two-date terrestrial laser scanning.
Forest ecology and management, 518, 120303.
Zheng, Xiaorou; Jia, Jianxin; Chen, Jinsong; Guo, Shanxin et al.
2022.
Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning.
MDPI AG.
Applied Sciences, 12(8), 3943.
Zhu, Kai; Yu, Yating; Wu, Bin; Jiang, Changhui.
2022.
GO-INO: Graph Optimization MEMS-IMU/NHC/Odometer Integration for Ground Vehicle Positioning.
MDPI AG.
Micromachines, 13(9), 1400.
Zhu, Lingli; Hattula, Emilia; Raninen, Jere; Hyyppä, Juha.
2022.
Experiment on Producing Disparity Maps from Aerial Stereo Images Using Unsupervised and Supervised Methods.
Copernicus GmbH.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022.
Zhu, Tianhao; Zhou, Hui; Ma, Yue; Li, Song et al.
2022.
A Synthetic Algorithm on the Skew-Normal Decomposition for Satellite LiDAR Waveforms.
Institute of Electrical and Electronics Engineers (IEEE).
IEEE Transactions on Geoscience and Remote Sensing, 60, 5702115.