Results 101 to 110 of about 49,813 (252)

Land use/land cover (LULC) classification using hyperspectral images: a review

Geo-spatial Information Science
In the rapidly evolving realm of remote sensing technology, the classification of Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent limitations in hyperspectral imaging, enhancing the accuracy and efficiency of HSI ...
Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees   +6 more
doaj   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Modelling forest dynamics using integral projection models and repeat lidar

Remote Sensing in Ecology and Conservation, EarlyView.
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen, Robin Battison, Christina M. Hernández, Oliver G. Spacey, Jessica McLean, Suzanne M. Prober, Samuel J. L. Gascoigne, Sean McMahon, Tommaso Jucker, Roberto Salguero‐Gómez   +9 more
wiley   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels

IEEE Access, 2019
Numerous studies have been conducted for hyperspectral image (HSI) classification by assuming that the label information of training data is fully available and correct.
Shan Zeng, Xiangjun Duan, Hao Li, Zuyin Xiao, Zhiyong Wang, David Feng   +5 more
doaj   +1 more source

SERS‐Based Nano‐ and Microsystems Toward Biomedical Applications

Small, EarlyView.
This review provides a current overview of nano‐ and microscale SERS‐based devices, encompassing all aspects from material design to practical applications. We highlight controlled SERS‐active architectures, including patterned substrates, nanorods, microspheres, micromotors, and microneedles, as well as combinations of these microfluidic systems.
Gohar Soufi, Tijana Maric, Isidro Badillo‐Ramírez, Juliane Fjelrad Christfort, Matteo Tollemeto, Carmen Milan Guimera, Casper Nisula, Giulia Zappalá, Laura De Vittorio, Marta Rubio‐Huertas, Sungyeong Kim, Ziqiao Li, Morten Bo Søndergaard Svendsen, Zhongyang Zhang, Anja Boisen   +14 more
wiley   +1 more source

HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis

Remote Sensing
The use of a pretrained image classification model (trained on cats and dogs, for example) as a perceptual loss function for hyperspectral super-resolution and pansharpening tasks is surprisingly effective.
Daniel La’ah Ayuba, Jean-Yves Guillemaut, Belen Marti-Cardona, Oscar Mendez   +3 more
doaj   +1 more source

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, EarlyView.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source

Integration of Micro‐CT and XRF Mapping for Multimodal 3D Analysis of Polychrome Wooden Artifacts

X-Ray Spectrometry, EarlyView.
ABSTRACT Over the past 5 years, computer applications have become crucial to archeological research. Since the 1990s, the focus has transitioned from data management tools to the development of virtual models. Recently, digital documentation of cultural heritage has gained considerable focus, with 3D modeling of objects.
Josiane E. Cavalcante, Olga Araujo, Alessandra Machado, Roberta M. P. S. Borges, Isis V. N. S. Franzi, Anderson G. de Paula, Roberta Leitão, Marcelino dos Anjos, Renato Freitas, Ricardo T. Lopes, Davi F. Oliveira   +10 more
wiley   +1 more source