Results 71 to 80 of about 1,111,541 (211)

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps.
Estefania Alfaro-Mejia, Carlos J. Delgado, Vidya Manian   +2 more
doaj   +1 more source

An Attention-Based 3D Convolutional Autoencoder for Few-Shot Hyperspectral Unmixing and Classification

Remote Sensing, 2023
Few-shot hyperspectral classification is a challenging problem that involves obtaining effective spatial–spectral features in an unsupervised or semi-supervised manner.
Chunyu Li, Rong Cai, Junchuan Yu
doaj   +1 more source

P‐T Uncertainty in Subsolidus Metamorphic Systems: Sources, Patterns and Controls

Journal of Metamorphic Geology, EarlyView.
ABSTRACT Phase equilibrium modelling of metamorphic rocks is subject to multiple, superimposed sources of uncertainty that affect pressure–temperature (P$$ P $$‐T$$ T $$) estimates, making it difficult to independently distinguish and evaluate the contribution of each source.
I. P. Cawood, T. Mackay‐Champion
wiley   +1 more source

An Automatic Sparse Pruning Endmember Extraction Algorithm with a Combined Minimum Volume and Deviation Constraint

Remote Sensing, 2018
In this paper, an automatic sparse pruning endmember extraction algorithm with a combined minimum volume and deviation constraint (SPEEVD) is proposed.
Huali Li, Jun Liu, Haicong Yu
doaj   +1 more source

A blind convolutional deep autoencoder for spectral unmixing of hyperspectral images over waterbodies

Frontiers in Earth Science, 2023
Harmful algal blooms have dangerous repercussions for biodiversity, the ecosystem, and public health. Automatic identification based on remote sensing hyperspectral image analysis provides a valuable mechanism for extracting the spectral signatures of ...
Estefanía Alfaro-Mejía, Vidya Manian, Joseph D. Ortiz, Roger P. Tokars   +3 more
doaj   +1 more source

Artefact‐aware Brillouin microscopy framework for root mechanical phenotyping

Journal of Microscopy, EarlyView.
Abstract Plant roots continuously sense and respond to the mechanical signals of their growth environment: root cap function, mucilage secretion, and hormonal regulation jointly adapt root tip mechanics, shaping whether roots penetrate compacted layers or reorient around obstacles. Most current measurements of root mechanical properties require removal
Timm Landes, Ole Christian Hammerschmidt, Leon Pascal Wallentin, Ghulam Naseer Ud Din, Jacob Morsbach, Luis Alonso Baez, Dag Heinemann   +6 more
wiley   +1 more source

Improved Process for Use of a Simplex Growing Algorithm for Endmember Extraction

, 2009
A recent paper by Chang et al. develops a new algorithm, called the simplex growing algorithm, which has shown promise in endmember extraction. There is an erroneous description made for one of synthetic image experiments.
Lo, C.S., Chang, C.I., Wu, C.C., null Chao-Cheng Wu, null Chien Shun Lo, null Chein-l Chang   +5 more
core   +1 more source

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]

, 2012
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader, Jocelyn Chanussot, Qian Du, Gader, Paul, Antonio Plaza, José M. Bioucas-dias, Chanussot, Jocelyn, Dobigeon, Nicolas, Plaza, Antonio, Du, Qian, Mario Parente, Bioucas-Dias, José M., Nicolas Dobigeon, Parente, Mario   +13 more
core   +1 more source

A Microkrystite from the Australasian Tektite/Microtektite Strewn Field

Meteoritics &Planetary Science, EarlyView.
Abstract Microkrystites are glassy impact spherules. They contain primary crystallites carrying information on the physical and chemical conditions prevailing during vaporization, melting, and ejection in large impact cratering events. We report on the geochemistry and mineralogy down to nanometer scale of the first microkrystite (ODP1144A,14) from the
Matteo Del Rio, Luigi Folco, Matteo Masotta, Ana Černok, Enrico Mugnaioli   +4 more
wiley   +1 more source

A Low-Computational-Complexity Algorithm for Hyperspectral Endmember Extraction: Modified Vertex Component Analysis

, 2012
Endmember extraction represents one of the most challenging aspects of hyperspectral image processing. In this letter, a new algorithm for endmember extraction, named modified vertex component analysis (MVCA), is presented. This new technique outperforms
Lopez, Sebastian, Gustavo M. Callico, Roberto Sarmiento, López, José Fco, Sebastian Lopez, Jose F. Lopez, Callico, Gustavo M., Pablo Horstrand, Horstrand, Pablo, Sarmiento, Roberto   +9 more
core   +1 more source