An Efficient Compressive Hyperspectral Imaging Algorithm Based on Sequential Computations of Alternating Least Squares [PDF]
Geunseop Lee
openalex +1 more source
When biology meets materials science – Interdisciplinary applications of electron microscopy
Abstract Research at the interface between biology and materials science creates challenges for electron microscopists. Everything from the sample preparation to the choice of imaging and analytical techniques and the interpretation of the resulting data refuses to sit comfortably within the domain of one discipline or the other.
Martin Saunders +5 more
wiley +1 more source
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]
Purnachand K +5 more
europepmc +1 more source
Ryugu Reference Project: Recommendations from the Measurement Definition Team
Abstract Sample return missions play a significant role in planetary science by providing pristine extraterrestrial materials. JAXA's Hayabusa2 and NASA's OSIRIS‐REx missions have returned samples from the C‐type asteroids Ryugu and Bennu, respectively. The chemical and mineralogical compositions of these samples closely resemble those of CI chondrites,
Tetsuya Yokoyama +16 more
wiley +1 more source
Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]
Chen Y, Lu H, Huang X.
europepmc +1 more source
Omnidirectional hyperspectral imaging
Hiperspektral görüntüleme sistemleri elektromanyetik tayfın ilgili bölgelerinde sık aralıklarla çok sayıda bant üzerinden veri toplayarak görüntülenecek sahne hakkında zengin bir spektral içerik sunar. Uzaktan algılama uygulamalarında, görüntülenecek sahneye göre uzamsal çözünürlüğün yetersiz kalması spektral karışım problemine yol açar.
openaire +1 more source
Bridging data silos to holistically model plant macrophenology
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador +9 more
wiley +1 more source
Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image. [PDF]
Yao Y +7 more
europepmc +1 more source

