Results 151 to 160 of about 56,702 (212)

Estimation of potato canopy leaf water content in various growth stages using UAV hyperspectral remote sensing and machine learning. [PDF]

Front Plant Sci
Guo F, Feng Q, Yang S, Yang W.
europepmc   +1 more source

Research on fertilization decision method for rice tillering stage based on the coupling of UAV hyperspectral remote sensing and WOFOST. [PDF]

Front Plant Sci
Li S, Jin Z, Bai J, Xiang S, Xu C, Yu F.
europepmc   +1 more source

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing. [PDF]

PLoS One, 2020
Cao Y, Jiang K, Wu J, Yu F, Du W, Xu T.
europepmc   +1 more source

3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements. [PDF]

Sensors (Basel)
Ivliev N, Podlipnov V, Petrov M, Tkachenko I, Ivanushkin M, Fomchenkov S, Markushin M, Skidanov R, Khanenko Y, Nikonorov A, Kazanskiy N, Soifer V.   +11 more
europepmc   +1 more source

Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications. [PDF]

J Imaging, 2020
Torres RM, Yuen PWT, Yuan C, Piper J, McCullough C, Godfree P.   +5 more
europepmc   +1 more source

Hyperspectral Image Classification for Remote Sensing

, 2020
This thesis is focused on deep learning-based, pixel-wise classification of hyperspectral images (HSI) in remote sensing. Although presence of many spectral bands in an HSI provides a valuable source of features, dimensionality reduction is often performed in the pre-processing step to reduce the correlation between bands.
openaire   +1 more source

Retraction: Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network. [PDF]

PLoS One
PLOS ONE Editors.
europepmc   +1 more source

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data. [PDF]

Sensors (Basel), 2020
Tao H, Feng H, Xu L, Miao M, Long H, Yue J, Li Z, Yang G, Yang X, Fan L.   +9 more
europepmc   +1 more source

Algorithm theoretical basis document [PDF]

, 2009
Carrère, V., Clevers, J.G.P.W., Gamba, P., Huber, S., Malenovsky, Z., Schaepman, M.E., Zagajewski, B.   +6 more
core   +1 more source

Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China. [PDF]

Sensors (Basel)
Qi Y, Gan S, Yuan X, Hu L, Hu J, Zhao H, Lu C.   +6 more
europepmc   +1 more source