Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Biwu Chen"'
Autor:
Shuo Shi, Biwu Chen, Sifu Bi, Junkai Li, Wei Gong, Jia Sun, Bowen Chen, Lin Du, Jian Yang, Qian Xu, Fei Wang, Shalei Song
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1460-1474 (2024)
Precise classification of Light Detection and Ranging (LiDAR) point cloud is a fundamental process in various applications, such as land cover mapping, forestry management, and autonomous driving. Due to the lack of spectral information, the existing
Externí odkaz:
https://doaj.org/article/ce02f9c0e2c74cc286a61707e803688b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1601-1612 (2023)
Hyperspectral imaging technology are widely used in vegetation, agriculture, and other fields, especially in land cover classification of complex scenes. Higher spectral resolution has become the focus of the development of hyperspectral imaging tech
Externí odkaz:
https://doaj.org/article/9cd2708935884490bd529147d0e62674
Autor:
Lin Du, Zhili Jin, Bowen Chen, Biwu Chen, Wei Gao, Jian Yang, Shuo Shi, Shalei Song, Mengmeng Wang, Wei Gong, Wei Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9667-9679 (2021)
Biochemicals, such as chlorophyll (Chl) and nitrogen (N), are closely related to photosynthesis process of vegetation. Their accurate estimation is an important topic in remote sensing of vegetation. Previous studies mainly focused on Chl-N content i
Externí odkaz:
https://doaj.org/article/7b9ce16a7e194735a0cce70cb0468c5f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 3, p 90 (2023)
Lidar can effectively obtain three-dimensional information on ground objects. In recent years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral imaging. The multispectral airborne lidar Optech Titan is the first comme
Externí odkaz:
https://doaj.org/article/8f8ee848682e4bfd93381f788eaa98dd
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4118 (2021)
The distribution of land cover has an important impact on climate, environment, and public policy planning. The Optech Titan multispectral LiDAR system provides new opportunities and challenges for land cover classification, but the better applicatio
Externí odkaz:
https://doaj.org/article/904172cd3ab5483eaf73811e99e4bbb0
Publikováno v:
Plant, Soil and Environment, Vol 63, Iss 9, Pp 396-401 (2017)
In this research, laser-induced fluorescence (LIF) technique combined with back-propagation neural network (BPNN) was employed to analyse different nitrogen (N) fertilization levels in paddy rice. Leaf fluorescence characteristics (FLCs) were measure
Externí odkaz:
https://doaj.org/article/4c708e0be1d84e53a42eda4824427c72
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 821 (2021)
Equivalent water thickness (EWT) is a major indicator for indirect monitoring of leaf water content in remote sensing. Many vegetation indices (VIs) have been proposed to estimate EWT based on passive or active reflectance spectra. However, the selec
Externí odkaz:
https://doaj.org/article/d78c870838664b9989f69898b62def43
Publikováno v:
Natural Gas Industry B, Vol 3, Iss 2, Pp 152-157 (2016)
Although fuzzy-ball drilling fluid has been successfully applied in CBM well drilling, it is necessary to study its anti-collapse mechanism so that adjustable coalbed sealing effects, controllable sealing strength, rational sealing cost and controlla
Externí odkaz:
https://doaj.org/article/270560ff74c44b32896ca14ec3c06149
Publikováno v:
Sensors, Vol 20, Iss 9, p 2460 (2020)
Leaf area index (LAI) is an important biophysical parameter, which can be effectively applied in the estimation of vegetation growth status. At present, amounts of studies just focused on the LAI estimation of a single plant type, while plant types a
Externí odkaz:
https://doaj.org/article/a42970d6c30b4f01bea726eb124a5ad5
Publikováno v:
Sensors, Vol 20, Iss 3, p 935 (2020)
Comprehensive and accurate vegetation monitoring is required in forestry and agricultural applications. The optical remote sensing method could be a solution. However, the traditional light detection and ranging (LiDAR) scans a surface to create poin
Externí odkaz:
https://doaj.org/article/0b09edf15b1e4cf789093279bf1b8a2a