Results 31 to 40 of about 89,529 (298)
Remote Sensing, 2015 Leaf biomass distribution is a key factor for modeling energy and carbon fluxes in forest canopies and for assessing fire behavior. We propose a new method to estimate 3D leaf bulk density distribution, based on a calibration of indices derived from T ...
François Pimont +4 more
doaj +1 more source
Ensembles of multiple spectral water indices for improving surface water classification
International Journal of Applied Earth Observations and Geoinformation, 2021 Mapping surface water distribution and its dynamics over various environments with robust methods is essential for managing water resources and supporting water-related policy design.
Zhaofei Wen +4 more
doaj +1 more source
Sensors, 2011 The geometric characterisation of tree orchards is a high-precision activity comprising the accurate measurement and knowledge of the geometry and structure of the trees. Different types of sensors can be used to perform this characterisation.
Jordi Palacin-Roca +4 more
doaj +1 more source
Scaling of Thermal Images at Different Spatial Resolution: The Mixed Pixel Problem
Agronomy, 2014 The consequences of changes in spatial resolution for application of thermal imagery in plant phenotyping in the field are discussed. Where image pixels are significantly smaller than the objects of interest (e.g., leaves), accurate estimates of leaf ...
Hamlyn G. Jones, Xavier R. R. Sirault
doaj +1 more source
Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF
Remote Sensing, 2016 Hyperspectral unmixing aims to obtain the hidden constituent materials and the corresponding fractional abundances from mixed pixels, and is an important technique for hyperspectral image (HSI) analysis.
Rong Liu, Bo Du, Liangpei Zhang
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral imagery (HSI) classification is one of the fundamental applications in remote sensing domain, which aims at predicting the labels of unlabeled pixels in an image with a classifier trained on a certain amount of labeled pixels.
Wei Wei +4 more
doaj +1 more source
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images [PDF]
, 2015 Mixing phenomena in hyperspectral images depend on a variety of factors, such as the resolution of observation devices, the properties of materials, and how these materials interact with incident light in the scene.
Imbiriba, Tales +4 more
core +1 more source
Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data
Remote Sensing, 2021 Hyperspectral unmixing is an important technique for analyzing remote sensing images which aims to obtain a collection of endmembers and their corresponding abundances.
Xiaochen Lv, Wenhong Wang, Hongfu Liu
doaj +1 more source
Hemispherical photographs with high and low amounts of mixed pixels.
, 2014 Histogram-exposed photographs of site V (A) with foliated vegetation and a low amount of mixed pixels and site VIII (B) with defoliated vegetation and a high amount of mixed pixels.
Jonas Glatthorn (664982) +1 more
core +1 more source
FUSION OF HYPERSPECTRAL AND PANCHROMATIC DATA BY SPECTRAL UNMIXING IN THE REFLECTIVE DOMAIN [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Earth observation at the local scale implies working on images with both high spatial and spectral resolutions. As the latter cannot be simultaneously provided by current sensors, hyperspectral pansharpening methods combine images jointly acquired by two
Y. Constans +6 more
doaj +1 more source