Results 21 to 30 of about 187 (133)
Trichodesmium Around Australia: A View From Space
Geophysical Research Letters, Volume 50, Issue 16, 28 August 2023., 2023 Abstract The cyanobacterium Trichodesmium is responsible for approximately half of the ocean's nitrogen input through nitrogen fixation. Although it was first recorded near Australia in the 18th century, the knowledge of where and when large quantity of Trichodesmium around Australia could be found is still lacking.
Lin Qi +6 more
wiley +1 more source
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 +7 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
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 +5 more
wiley +1 more source
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
A Hierarchical Sparsity Unmixing Method to Address Endmember Variability in Hyperspectral Image
Remote Sensing, 2018 With a low spectral resolution hyperspectral sensor, the signal recorded from a given pixel against the complex background is a mixture of spectral contents. To improve the accuracy of classification and subpixel object detection, hyperspectral unmixing (
Jinlin Zou, Jinhui Lan, Yang Shao
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral unmixing (HU) has become an important technique in exploiting hyperspectral data since it decomposes a mixed pixel into a collection of endmembers weighted by fractional abundances.
E. M. M. B. Ekanayake +7 more
doaj +1 more source
Deep convolutional transformer network for hyperspectral unmixing
European Journal of Remote Sensing, 2023 Hyperspectral unmixing (HU) is considered one of the most important ways to improve hyperspectral image analysis. HU aims to break down the mixed pixel into a set of spectral signatures, often commonly referred to as endmembers, and determine the ...
Fazal Hadi +3 more
doaj +1 more source
Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization
Remote Sensing, 2023 Nonnegative matrix factorization (NMF) and its numerous variants have been extensively studied and used in hyperspectral unmixing (HU). With the aid of the designed deep structure, deep NMF-based methods demonstrate advantages in exploring the ...
Risheng Huang +4 more
doaj +1 more source
Hyperspectral reflectance spectra of floating matters derived from Hyperspectral Imager for the Coastal Ocean (HICO) observations [PDF]
Earth System Science Data, 2022 Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station between 2010–2014, hyperspectral reflectance spectra of various floating matters in global oceans and lakes are derived for the spectral ...
C. Hu
doaj +1 more source