Results 61 to 70 of about 3,522,681 (315)
Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]
, 2013 When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid +14 more
core +1 more source
Constrained reflect-then-combine methods for unmixing hyperspectral data [PDF]
2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013 This paper deals with the linear unmixing problem in hyperspectral data processing, and in particular the estimation of the fractional abundances under sum-to-one and non-negativity constraints. For this purpose, we propose to adapt the reflect-then-combine iterative technique, initially derived by Cimmino.
Honeine, Paul, Lantéri, Henri
openaire +4 more sources
Use of hyperspectral reflectance to non-destructively estimate seagrass Zostera noltei biomass
, 2021 Seagrasses are marine plants ranked worldwide amongst the most valuable coastal ecosystems. The global conservation effort requires accurate estimation of seagrass abundance and taxonomic composition.
Valentina Costa +3 more
semanticscholar +1 more source
Remote Sensing of Environment, 2021 One great advantage of optical hyperspectral remote sensing from unmanned aerial systems (UAS) compared to satellite missions is the possibility to fly and collect data below clouds. The most typical scenario is flying below intermittent clouds and under
C. Köppl +12 more
semanticscholar +1 more source
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
core +1 more source
Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning [PDF]
Remote Sensing, 2018 Many methods based on radiative-transfer models and empirical approaches with prior knowledge have been developed for the retrieval of hyperspectral surface reflectance. In this paper, we propose a novel approach for atmospheric correction of hyperspectral images based on machine learning.
Zhu, Sijie, Lei, Bin, Wu, Yirong
openaire +2 more sources
Retrieval of Leaf Area Index (LAI) and Soil Water Content (WC) Using Hyperspectral Remote Sensing under Controlled Glass House Conditions for Spring Barley and Sugar Beet [PDF]
, 2010 Leaf area index (LAI) and water content (WC) in the root zone are two major hydro-meteorological parameters that exhibit a dominant control on water, energy and carbon fluxes, and are therefore important for any regional eco-hydrological or ...
Borzuchowski, Jaromir +5 more
core +1 more source
Journal of Spectroscopy, 2017 Soil salinization is one of the most serious environmental issues in arid and semiarid area with severe social, economic, and ecological problems. At present, most inversion models are based on raw reflectance spectra or integer differential transform ...
Nan Xia +6 more
doaj +1 more source
Sensors, 2013 Surface reflectance spectra retrieved from remotely sensed hyperspectral imaging data using radiative transfer models often contain residual atmospheric absorption and scattering effects.
Bo-Cai Gao, Ming Liu
doaj +1 more source
Hyperspectral reflectance data, molecular and weights for trained model
, 2023 Supplementary data for the paper: "Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel.""maize_2020_unl_reflectance_traits.csv " contains hyperspectral reflectance data and molecular traits
Marcin W. Grzybowski (13765454) +9 more
core +1 more source