Development of techniques to classify marine benthic habitats using hyperspectral imagery in oligotrophic, temperate waters [PDF]
, 2009 There is an increasing need for more detailed knowledge about the spatial distribution and structure of shallow water benthic habitats for marine conservation and planning.
Harvey, Matthew
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Measuring and modelling parameters from hyperspectral sensors for site-specific crop protection [PDF]
, 2010 This thesis sought to optimise systems for plant protection in precision agriculture through developing a field method for estimating crop status parameters from hyperspectral sensors, and an empirical model for estimating the required herbicide dose in ...
Larsolle, Anders
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Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. [PDF]
ISPRS J Photogramm Remote Sens, 2022 Tagliabue G +11 more
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Spatial analysis for colon biopsy classification from hyperspectral imagery [PDF]
, 2008 Automatic classification of histology images, the objective of our research, is aimed at supporting the pathologists in their diagnosis. In this paper, we present a comparative study between 3D spectral/spatial analysis (SSA) and 2D spatial analysis (SA ...
Rajpoot, Nasir M. (Nasir Mahmood) +1 more
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Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity. [PDF]
Sensors (Basel), 2022 Cho BH, Kim YH, Lee KB, Hong YK, Kim KC.
europepmc +1 more source
EnMAP - The future hyperspectral Satellite Mission Product Generation [PDF]
, 2009 The basic components of the future German satellite mission EnMAP (Environmental Mapping and Analysis Program) are the project management led by the Space Agency of the German Aerospace Centre (DLR) located in Bonn-Oberkassel, the space segment ...
Neumann, Andreas +13 more
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Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]
Front Plant Sci, 2022 Wu H +5 more
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Remote SensingThe paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam +3 more
doaj +1 more source
Polysaccharide determination and habitat classification for fresh Dendrobiums with hyperspectral imagery and modified RBFNN. [PDF]
RSC Adv, 2021 Wei Y, Hu W, Wu F, He Y.
europepmc +1 more source
The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples. [PDF]
Heliyon, 2023 Diane A, Saffaj T, Ihssane B, Rabie R.
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