Results 1 to 10 of about 57,543 (231)

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

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

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

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

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

An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]

, 2010
Bertels, L., Delalieux, S., Haest, B., Kooistra, L., Mücher, C.A., Scheunders, P., Spanhove, T., Thoonen, G., Vanden Borre, J.   +8 more
core   +1 more source

Classification techniques for hyperspectral remote sensing

, 2011
This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how their performances can be assessed particularly when there is an absence of ground truth target map in the
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