-
1دورية أكاديمية
المؤلفون: Shunfu Xiao, Shuaipeng Fei, Qing Li, Bingyu Zhang, Haochong Chen, Demin Xu, Zhibo Cai, Kaiyi Bi, Yan Guo, Baoguo Li, Zhen Chen, Yuntao Ma
المصدر: Plant Phenomics, Vol 5 (2023)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2643-6515
-
2دورية أكاديمية
المؤلفون: Yunling Liu, Guoli Zhang, Ke Shao, Shunfu Xiao, Qing Wang, Jinyu Zhu, Ruili Wang, Lei Meng, Yuntao Ma
المصدر: Agronomy, Vol 12, Iss 4, p 893 (2022)
مصطلحات موضوعية: 3D point cloud, region-growing algorithm, multiscale tensor voting method (MSTVM), phenotyping, Agriculture
وصف الملف: electronic resource
-
3دورية أكاديمية
المؤلفون: Kaiyi Bi, Zheng Niu, Shunfu Xiao, Jie Bai, Gang Sun, Ji Wang, Zeying Han, Shuai Gao
المصدر: Remote Sensing, Vol 13, Iss 24, p 5025 (2021)
وصف الملف: electronic resource
-
4دورية أكاديمية
المؤلفون: Kaiyi Bi, Zheng Niu, Shunfu Xiao, Jie Bai, Gang Sun, Ji Wang, Zeying Han, Shuai Gao
المصدر: Remote Sensing, Vol 13, Iss 21, p 4203 (2021)
مصطلحات موضوعية: hyperspectral, light detection and ranging (lidar), biochemical parameters, photosynthesis traits, high-throughput, Science
وصف الملف: electronic resource
-
5دورية أكاديمية
المؤلفون: Shunfu Xiao, Honghong Chai, Ke Shao, Mengyuan Shen, Qing Wang, Ruili Wang, Yang Sui, Yuntao Ma
المصدر: Remote Sensing, Vol 12, Iss 2, p 269 (2020)
مصطلحات موضوعية: field phenotyping, sugar beet, structure from motion, biomass prediction, leaf length, Science
وصف الملف: electronic resource
-
6Simultaneous Extraction of Plant 3-D Biochemical and Structural Parameters Using Hyperspectral LiDAR
المؤلفون: Ni Huang, Zheng Niu, Shuai Gao, Shunfu Xiao, Jie Pei, Kaiyi Bi, Changsai Zhang
المصدر: IEEE Geoscience and Remote Sensing Letters. 19:1-5
مصطلحات موضوعية: Canopy, Data processing, biology, Point cloud, Hyperspectral imaging, Ranging, Geotechnical Engineering and Engineering Geology, biology.organism_classification, Lidar, Partial least squares regression, Environmental science, Kniphofia uvaria, Electrical and Electronic Engineering, Remote sensing
-
7
المؤلفون: Shunfu Xiao, Ni Huang, Kaiyi Bi, Shuai Gao, Changsai Zhang, Zheng Niu
المصدر: IEEE Transactions on Geoscience and Remote Sensing. 58:8125-8133
مصطلحات موضوعية: Spectral index, 0211 other engineering and technologies, Hyperspectral imaging, 02 engineering and technology, Vegetation, Data set, chemistry.chemical_compound, Lidar, chemistry, Chlorophyll, Linear regression, General Earth and Planetary Sciences, Environmental science, Electrical and Electronic Engineering, Spatial analysis, 021101 geological & geomatics engineering, Remote sensing
-
8
المؤلفون: Shunfu Xiao, Gang Sun, Zeying Han, Ji Wang, Kaiyi Bi, Shuai Gao, Jie Bai, Zheng Niu
المصدر: Remote Sensing, Vol 13, Iss 4203, p 4203 (2021)
Remote Sensing; Volume 13; Issue 21; Pages: 4203مصطلحات موضوعية: Mean squared error, Science, Hyperspectral imaging, light detection and ranging (lidar), Photosynthesis, Spatial distribution, hyperspectral, biochemical parameters, photosynthesis traits, high-throughput, Light intensity, Wavelength, Lidar, General Earth and Planetary Sciences, Intensity (heat transfer), Mathematics, Remote sensing
وصف الملف: application/pdf
-
9
المؤلفون: Kaiyi Bi, Shuai Gao, Shunfu Xiao, Changsai Zhang, Jie Bai, Ni Huang, Gang Sun, Zheng Niu
المصدر: Computers and Electronics in Agriculture. 199:107165
مصطلحات موضوعية: Forestry, Horticulture, Agronomy and Crop Science, Computer Science Applications
-
10
المؤلفون: Yuntao Ma, Ruili Wang, Shunfu Xiao, Mengyuan Shen, Qing Wang, Ke Shao, Sui Yang, Honghong Chai
المصدر: Remote Sensing, Vol 12, Iss 2, p 269 (2020)
Remote Sensing
Volume 12
Issue 2
Pages: 269مصطلحات موضوعية: 0106 biological sciences, Canopy, Convex hull, Science, Point cloud, Biomass, 01 natural sciences, 03 medical and health sciences, biomass prediction, leaf length, Plant breeding, Sugar, 030304 developmental biology, Mathematics, 0303 health sciences, biology, structure from motion, field phenotyping, Phenotypic trait, sugar beet, biology.organism_classification, Agronomy, General Earth and Planetary Sciences, Sugar beet, 010606 plant biology & botany
وصف الملف: application/pdf