Juha Hyyppä
National Land Survey of Finland
27 Papers
49 Citations
Juha Hyyppä is an academic researcher from National Land Survey of Finland. The author has contributed to research in topics: Computer science & Lidar. The author has an hindex of 4, co-authored 27 publications. Previous affiliations of Juha Hyyppä include Aalto University & Finnish Geodetic Institute.
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Papers
Hand-Held Personal Laser Scanning: Current Status and Perspectives for Forest Inventory Application
TL;DR: In this article, the authors present the current state-of-the-art for H-PLS systems in forest inventory and provide an overview of the results of previous studies and highlight the main issues that should be covered by further H-pls-based forest inventory studies.
A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings
TL;DR: The work presented in this article provides summarization of applications in the life cycle of building and divides them into two classes: applications in construction period and applications in maintenance period.
Review on Active and Passive Remote Sensing Techniques for Road Extraction
Jianxin Jia,Haibin Sun,Changhui Jiang,Kirsi Karila,Mika Karjalainen,Eero Ahokas,Ehsan Khoramshahi,Peilun Hu,Chen Chen,Tianru Xue,Tinghuai Wang,Yuwei Chen,Juha Hyyppä +12 more
TL;DR: A comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyperspectral images, synthetic aperture radar images, and light detection and ranging, is presented in this paper.
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•Posted Content
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description.
Deyu Yin,Qian Zhang,Jingbin Liu,Xinlian Liang,Yunsheng Wang,Jyri Maanpää,Hao Ma,Juha Hyyppä,Ruizhi Chen +8 more
TL;DR: A fully unsupervised Convolutional Auto-Encoder based LiDAR Odometry (CAE-LO) that detects interest points from spherical ring data using 2DCAE and extracts features from multi-resolution voxel model using 3D CAE and a backward pose update method.
Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation
Yunsheng Wang,Antero Kukko,Eric Hyyppä,Teemu Hakala,Jiri Pyörälä,Jiri Pyörälä,Matti Lehtomäki,Aimad El Issaoui,Xiaowei Yu,Harri Kaartinen,Harri Kaartinen,Xinlian Liang,Juha Hyyppä +12 more
TL;DR: In this article, an UAV that flies above and under canopies in a single operation is proposed to achieve high tree-and plot-level completeness while maintaining a high cost and labor efficiency.
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