Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Xinlian Liang"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 983-999 (2024)
Close-range sensing has yet to attain the status of being a dependable source for in situ forest information as the conventional field inventory. Each solution has its advantages and disadvantages in terms of accuracy, completeness, and efficiency. F
Externí odkaz:
https://doaj.org/article/ae25509577ab4be6a42817d9ca236164
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
Ground filtering is a fundamental step in airborne LiDAR data processing toward a variety of applications. However, existing algorithms remain tremendously challenging in complex environments, e.g. steep hillsides, ridges, valleys, discontinuities, a
Externí odkaz:
https://doaj.org/article/af50d89e2e674d7abdd22d8a2b6e7d53
Autor:
Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha Hyyppä
Publikováno v:
Geo-spatial Information Science, Pp 1-27 (2024)
Information about trees in forest is essential for the assessment of the quantity and the quality of forest ecosystem services. Recently, Deep Learning (DL) methods were regarded as a new cornerstone of algorithm development. Semantic annotations of
Externí odkaz:
https://doaj.org/article/99da4b506d424ee8b3f7c40680a9e235
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104234- (2024)
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission, spanning the past five years, has collected extensive three-dimensional Earth observation data, facilitating the understanding of environmental changes on a global scale. Its key prod
Externí odkaz:
https://doaj.org/article/0f853886fdb74710858b7c0731879b7c
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100238- (2024)
Terrestrial laser scanning (TLS) accurately captures tree structural information and provides prerequisites for tree-scale estimations of forest biophysical attributes. Quantifying tree-scale attributes from TLS point clouds requires segmentation, ye
Externí odkaz:
https://doaj.org/article/2ec7f0c303164e99bf2a35c4ed33b21b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3024-3040 (2022)
A comprehensive 3-D structural mapping of stem is essential for an accurate 3-D crown modeling and tree parameter estimation. Terrestrial laser scanning (TLS) is an effective technology for a comprehensive collection of individual tree level data, co
Externí odkaz:
https://doaj.org/article/7702023b827f44a38772cad7ee434e71
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-11 (2021)
Abstract Background Individual tree extraction from terrestrial laser scanning (TLS) data is a prerequisite for tree-scale estimations of forest biophysical properties. This task currently is undertaken through laborious and time-consuming manual ass
Externí odkaz:
https://doaj.org/article/3be1689d18a442f7ab0f7346f2a7304a
Autor:
Yunsheng Wang, Antero Kukko, Eric Hyyppä, Teemu Hakala, Jiri Pyörälä, Matti Lehtomäki, Aimad El Issaoui, Xiaowei Yu, Harri Kaartinen, Xinlian Liang, Juha Hyyppä
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-15 (2021)
Abstract Background Current automated forest investigation is facing a dilemma over how to achieve high tree- and plot-level completeness while maintaining a high cost and labor efficiency. This study tackles the challenge by exploring a new concept
Externí odkaz:
https://doaj.org/article/c0c4a4428831434cbe232c4efc19d67f
Autor:
Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Shoubin Chen, Jyri Maanpää, Juha Hyyppä, Ruizhi Chen
Publikováno v:
IET Image Processing, Vol 15, Iss 2, Pp 369-377 (2021)
Abstract Interest point detection plays an important role in many computer vision applications. This work is motivated by the light detection and ranging odometry task in autonomous driving. Existing methods are not capable of detecting enough intere
Externí odkaz:
https://doaj.org/article/d3953304933747b49f2786706f03c3b4
Hand-Held Personal Laser Scanning – Current Status and Perspectives for Forest Inventory Application
Publikováno v:
Croatian Journal of Forest Engineering, Vol 42, Iss 1, Pp 165-183 (2021)
The emergence of hand-held Personal Laser Scanning (H-PLS) systems in recent years resulted in initial research on the possibility of its application in forest inventory, primarily for the estimation of the main tree attributes (e.g. tree detection,
Externí odkaz:
https://doaj.org/article/24be2dd153774dd293e410754a1d7203