Results 31 to 40 of about 1,956 (163)

High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems

Geoscience Data Journal, Volume 9, Issue 2, Page 221-234, November 2022., 2022
Hyperspectral remote sensing has been developed to detect individual absorption features related to specific chemical bonds in soils, liquids or gases; however, because UAV‐based pushbroom hyperspectral sensor technologies are relatively new, no public datasets are currently available.
Jae‐In Kim, Junhwa Chi, Ali Masjedi, John Evan Flatt, Melba M. Crawford, Ayman F. Habib, Joohan Lee, Hyun‐Cheol Kim   +7 more
wiley   +1 more source

Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery

IET Image Processing, Volume 16, Issue 13, Page 3557-3566, 13 November 2022., 2022
Abstract Although hyperspectral data, especially spaceborne images, are rich in spectral information, their spatial resolution is usually low due to the limitation of sensor design and other factors. Therefore, for the application of hyperspectral images, unmixing technology is a key processing technology, such as linear mixing model and its derived ...
Haoyang Yu, Jinxue Chi, Xiaodi Shang, Xueji Shen, Jocelyn Chanussot, Yimin Shi   +5 more
wiley   +1 more source

Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Hyperspectral unmixing (HU) is an efficient way to extract component information from mixed pixels in remotely sensed imagery. Nonnegative matrix factorization (NMF) based unmixing methods have been widely used due to their ability to extract endmembers (
Xiang Xu, Jun Li, Shutao Li, Antonio Plaza   +3 more
doaj   +1 more source

Comparative Analysis of Automated Text Summarization Techniques: The Case of Ethiopian Languages

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Nowadays, there is an abundance of information available from both online and offline sources. For a single topic, we can get more than hundreds of sources containing a wealth of information. The ability to extract or generate a summary of popular content allows users to quickly search for content and obtain preliminary data in the shortest amount of ...
Wubetu Barud Demilie, Danfeng Hong
wiley   +1 more source

Amazon Hydrology From Space: Scientific Advances and Future Challenges

Reviews of Geophysics, Volume 59, Issue 4, December 2021., 2021
Abstract As the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite‐based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era.
Alice César Fassoni‐Andrade, Ayan Santos Fleischmann, Fabrice Papa, Rodrigo Cauduro Dias de Paiva, Sly Wongchuig, John M. Melack, Adriana Aparecida Moreira, Adrien Paris, Anderson Ruhoff, Claudio Barbosa, Daniel Andrade Maciel, Evlyn Novo, Fabien Durand, Frédéric Frappart, Filipe Aires, Gabriel Medeiros Abrahão, Jefferson Ferreira‐Ferreira, Jhan Carlo Espinoza, Leonardo Laipelt, Marcos Heil Costa, Raul Espinoza‐Villar, Stéphane Calmant, Victor Pellet   +22 more
wiley   +1 more source

A Multiscale Hierarchical Model for Sparse Hyperspectral Unmixing

Remote Sensing, 2019
Due to the complex background and low spatial resolution of the hyperspectral sensor, observed ground reflectance is often mixed at the pixel level.
Jinlin Zou, Jinhui Lan
doaj   +1 more source

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related [PDF]

, 2015
This paper considers a recently emerged hyperspectral unmixing formulation based on sparse regression of a self-dictionary multiple measurement vector (SD-MMV) model, wherein the measured hyperspectral pixels are used as the dictionary.
Bioucas-Dias, José M., Chan, Tsung-Han, Fu, Xiao, Ma, Wing-Kin   +3 more
core   +2 more sources

Tracing Carbonate Formation, Serpentinization, and Biological Materials With Micro‐/Meso‐Scale Infrared Imaging Spectroscopy in a Mars Analog System, Samail Ophiolite, Oman

Earth and Space Science, Volume 8, Issue 11, November 2021., 2021
Abstract Visible‐shortwave infrared (VSWIR) imaging spectrometers map composition remotely with spatial context, typically at many meters‐scale from orbital and airborne data. Here, we evaluate VSWIR imaging spectroscopy capabilities at centimeters to sub‐millimeter scale at the Samail Ophiolite, Oman, where mafic and ultramafic lithologies and their ...
Ellen K. Leask, Bethany L. Ehlmann, Rebecca N. Greenberger, Patrick Pinet, Yves Daydou, Georges Ceuleneer, Peter Kelemen   +6 more
wiley   +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

Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]

, 2011
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Abderrahim Halimi, Jean-yves Tourneret, Nicolas Dobigeon, Senior Member, Student Member, Student Member, Yoann Altmann   +6 more
core   +9 more sources