Research on fertilization decision method for rice tillering stage based on the coupling of UAV hyperspectral remote sensing and WOFOST. [PDF]
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]
Cao Y, Jiang K, Wu J, Yu F, Du W, Xu T.
europepmc +1 more source
Hyperspectral Image Classification for Remote Sensing
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.
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3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements. [PDF]
Ivliev N +11 more
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Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications. [PDF]
Torres RM +5 more
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Retraction: Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network. [PDF]
PLOS ONE Editors.
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Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data. [PDF]
Tao H +9 more
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Classification techniques for hyperspectral remote sensing
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
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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]
Qi Y +6 more
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Hyperspectral remote sensing to detect leafminer-induced stress in bok choy and spinach according to fertilizer regime and timing. [PDF]
Nguyen HD, Nansen C.
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