Results 71 to 80 of about 36,270 (292)

Fine-Scale Mangrove Species Classification Based on UAV Multispectral and Hyperspectral Remote Sensing Using Machine Learning

Remote Sensing
Mangrove ecosystems play an irreplaceable role in coastal environments by providing essential ecosystem services. Diverse mangrove species have different functions due to their morphological and physiological characteristics.
Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, Wenhua Cai, Jiali Wang, Hongxin Su, Jian Yang   +6 more
doaj   +1 more source

Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

Remote Sensing, 2011
Invasive species’ phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing.
Stuart E. Marsh, Aaryn D. Olsson, Willem J.D. van Leeuwen   +2 more
doaj   +1 more source

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Advanced Science, EarlyView.
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez   +7 more
wiley   +1 more source

Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data

Remote Sensing, 2020
Target detection in remote sensing imagery, mapping of sparsely distributed materials, has vital applications in defense security and surveillance, mineral exploration, agriculture, environmental monitoring, etc. The detection probability and the quality
Sudhanshu Shekhar Jha, Rama Rao Nidamanuri   +1 more
doaj   +1 more source

Intelligent hyperspectral target detection for reliable IoV applications

EURASIP Journal on Wireless Communications and Networking, 2022
In recent years, hyperspectral imagery has played a significant role in IoV (Internet of Vehicles) vision areas such as target acquisition. Researchers are focusing on integrating detection sensors, detection computing units, and communication units into
Zixu Wang, Lizuo Jin, Kaixiang Yi
doaj   +1 more source

Hyperspectral colon tissue cell classification [PDF]

, 2004
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Kashif, Rajpoot, Nasir M. (Nasir Mahmood), Turner, Martin J.   +2 more
core  

The Uppsala APP Mutation Promotes Wild‐Type Amyloid‐β Aggregation and Deposition In Vivo

Advanced Science, EarlyView.
We investigated in vivo cross‐seeding of amyloid‐β (Aβ) isoforms in transgenic mice co‐expressing wild‐typeAβ and the Uppsala‐mutant Aβ variant (AβUpp), lacking six central residues. Weleveraged MALDI‐MS imaging and hyperspectral microscopy to follow spatio‐temporalAβ deposition.
Junyue Ge, María Pagnon de la Vega, Silvia Zampar, Enrica Cerilli, Srinivas Koutarapu, Ling Wu, Paul Fraser, Sertan Arkan, Vilmantas Giedraitis, Lars Lannfelt, Greta Hultqvist, Stina Syvänen, Martin Ingelsson, Jörg Hanrieder, Dag Sehlin   +14 more
wiley   +1 more source

State-of-the-art and gaps for deep learning on limited training data in remote sensing

, 2018
Deep learning usually requires big data, with respect to both volume and variety. However, most remote sensing applications only have limited training data, of which a small subset is labeled.
Anderson, Derek T., Ball, John E., Wei, Pan   +2 more
core   +1 more source

Classification of hyperspectral imagery on embedded Grassmannians [PDF]

2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014
We propose an approach for capturing the signal variability in hyperspectral imagery using the framework of the Grassmann manifold. Labeled points from each class are sampled and used to form abstract points on the Grassmannian. The resulting points on the Grassmannian have representations as orthonormal matrices and as such do not reside in Euclidean ...
Chepushtanova, Sofya, Kirby, Michael
openaire   +2 more sources

Oral Bioinspired Peroxisome‐Engineered Probiotics for Modulating Gut Microbiota Homeostasis and Alleviating Cardiac Chemotherapy Toxicity

Advanced Science, EarlyView.
This study developed an oral bioinspired peroxisome‐engineered probiotic (BPEP) by anchoring lipid‐encapsulated ruthenium nanozymes onto Escherichia coli Nissle 1917, utilizing probiotics to deliver nanozymes to the intestinal barrier for reactive oxygen species/reactive nitrogen species elimination, tight junction restoration, and gut microbiota ...
Shuyu Wang, Xiaowan Fan, Chao Zhang, Shuai Han, Yike Guo, Yuchen Wang, Wei Wang, Junyue Xing, Ying Liu, Wei Jiang, Xiaoying Chen   +10 more
wiley   +1 more source