Results 51 to 60 of about 1,165,369 (212)
Limited to the low spatial resolution of the hyperspectral imaging sensor, mixed pixels are inevitable in hyperspectral images. Therefore, to obtain the endmembers and corresponding fractions in mixed pixels, hyperspectral unmixing becomes a hot spot in ...
Yang Shao, Jinhui Lan
doaj +1 more source
ABSTRACT Marine isotope substage 11c (~426–366 ka) is widely regarded as the most recent Pleistocene interglacial that is broadly analogous to the Holocene. The timing and magnitude of sea‐level changes during MIS 11 have been much debated, particularly concerning whether sea levels were significantly higher than during the Holocene. Empirical evidence
Tom S. White +3 more
wiley +1 more source
High-precision extraction of alteration mineral information provides crucial guidance for hyperspectral remote sensing mineral exploration. Currently, widely used hyperspectral datasets (such as ZY-1 02D and GF-5) lack targeted design in spectral ...
Linpei Yang +3 more
doaj +1 more source
Abstract Worldwide, lacustrine ecosystems are threatened by eutrophication and deoxygenation. Both processes are driven by the combined effects of human activities and climate change. Understanding the pre‐anthropogenic nexus between warming, eutrophication, deoxygenation, and related feedback is essential to determine how lakes respond to rapid ...
Noé R.M.M. Schmidhauser +7 more
wiley +1 more source
A systematic 15N‐amino‐acid tracer framework to identify sources of pelagic marine organic matter
Abstract Accurately tracing organic matter sources in marine systems remains challenging, particularly where natural and anthropogenic inputs coexist. Compound‐specific stable isotope analysis of amino acids (CSIA‐AA) offers strong potential for organic matter source discrimination, but its application is limited by the small number of validated δ15N ...
E. Cepeda +5 more
wiley +1 more source
Self-supervised spectral unmixing using scene-aware deep priors
High spectral resolution of hyperspectral sensors facilitates the detailed identification of material, but the coarse spatial resolution affects accurate interpretation.
Soorya Suresh +4 more
doaj +1 more source
Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor [PDF]
Endmember (EM) variability has an important impact on the performance of hyperspectral image (HI) analysis algorithms. Recently, extended linear mixing models have been proposed to account for EM variability in the spectral unmixing (SU) problem. The direct use of these models has led to severely ill-posed optimization problems.
Ricardo Augusto Borsoi +2 more
openaire +2 more sources
ABSTRACT The McMurdo Dry Valleys, the largest ice‐free region in Antarctica, are home to a cold‐desert hydrologic system of glaciers, snowbanks, streams, and lakes. Freshwater is also stored as dead glacial ice, which is poorly constrained in terms of ion concentrations and interactions with both in situ and overlying sediments.
Matthew C. Witscheber, Kate M. Swanger
wiley +1 more source
Hyperspectral unmixing with endmember variability using Partial Membership Latent Dirichlet Allocation [PDF]
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and incorporates spatial information through the use of superpixel-based 'documents.' In our application of
Sheng Zou, Alina Zare
openaire +3 more sources
Abstract Ecological niche models (ENMs) are used to assess the abiotic preferences of species by linking their occurrences to the environmental conditions in which they live. We developed a fossil‐informed ENM framework that integrates mid‐Holocene and modern occurrences to test niche stability and reconstruct abiotic niche characteristics for four ...
Claire. M. Williams +3 more
wiley +1 more source

