Results 101 to 110 of about 98,568 (293)

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source

EnMAP - The future hyperspectral Satellite Mission Product Generation [PDF]

, 2009
The basic components of the future German satellite mission EnMAP (Environmental Mapping and Analysis Program) are the project management led by the Space Agency of the German Aerospace Centre (DLR) located in Bonn-Oberkassel, the space segment ...
Neumann, Andreas, Storch, Tobias, Miguel, Amaia, Kaufmann, hermann, Bachmann, Martin, Müller, Andreas, Palubinskas, Gintautas, Schneider, Mathias, Makasy, Christine, Richter, Rudolf, Guanter, Luis, Müller, Rupert, Walzel, Thomas, Segl, Karl   +13 more
core  

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

Nonlinear unmixing of hyperspectral images using a generalized bilinear model [PDF]

, 2011
Nonlinear models have recently shown interesting properties for spectral unmixing. This paper studies a generalized bilinear model and a hierarchical Bayesian algorithm for unmixing hyperspectral images. The proposed model is a generalization not only of
Altmann, Yoann, Jean-Yves Tourneret, Halimi, Abderrahim; id_orcid, Altmann, Yoann; id_orcid, Halimi, Abderrahim, Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +9 more
core   +1 more source

Systemic Diseases and the Eye: A Translational Perspective on Diabetes

Chronic Diseases and Translational Medicine, EarlyView.
The eye–brain–cardiometabolic axis in diabetes: retinal biomarkers as indicators of systemic disease. ABSTRACT Diabetes mellitus is a global chronic disease that affects the whole body and not just glucose metabolism. In diabetes, non‐invasive ocular changes can help understand microvascular, neurodegenerative, and inflammatory processes. This analysis
Matteo Capobianco, Marco Zeppieri, Simonetta Gaia Nicolosi, Niccolò Castellino, Francesco Cappellani, Irene Gattazzo, Caterina Gagliano   +6 more
wiley   +1 more source

Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral–Multispectral Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia, Haoyang Yu, Chengjun Wang, Ke Zheng, Jiaxin Li, Jiaochan Hu   +5 more
doaj   +1 more source

Resolving Mixed Algal Species in Hyperspectral Images

Sensors, 2013
We investigated a lab-based hyperspectral imaging system’s response from pure (single) and mixed (two) algal cultures containing known algae types and volumetric combinations to characterize the system’s performance.
Mehrube Mehrubeoglu, Ming Y. Teng, Paul V. Zimba   +2 more
doaj   +1 more source

MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES

Image Analysis & Stereology, 2011
The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain the markers and a vectorial gradient which gives the spatial information. Several alternative gradients are adapted
Noyel, Guillaume, Angulo, Jesus, Jeulin, Dominique   +2 more
openaire   +8 more sources

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing

International Journal of Applied Earth Observations and Geoinformation
Various improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang, Meiping Song, Sen Li, Haimo Bao   +3 more
doaj   +1 more source