Results 81 to 90 of about 112,356 (331)

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

, 2019
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral imagery, CD technology has been greatly promoted, as hyperspectral data ...
Du, Qian, Fellow, Fellow, IEEE, IEEE, IEEE, Li, Xuelong, Member, Senior, Wang, Qi, Yuan, Zhenghang   +9 more
core   +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

Hyperspectral screen-image-synthesis meter with scattering-noise suppression

Scientific Reports, 2023
The screen image synthesis (SIS) meter was originally proposed as a high-speed measurement tool, which fused the measured data from multiple sample-rotational angles to produce a whole-field measurement result. However, it suffered from stray light noise
Yeh-Wei Yu, Ming Le, Tsung-Hsun Yang, Cheng-Hsien Chen, Pin-Duan Huang, Chi-Shou Wu, Che-Chu Lin, Tsung-Xian Lee, Ching-Cherng Sun   +8 more
doaj   +1 more source

Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification [PDF]

, 2022
Kai Zhao, Boao Qin, Shou Feng, Wen‐Xiang Zhu   +3 more
openalex   +1 more source

Hyperspectral CMOS imager [PDF]

International Conference on Space Optics — ICSO 2010, 2017
CCDs have been used for many years for Hyperspectral imaging missions and have been extremely successful. These include the Medium Resolution Imaging Spectrometer (MERIS) [1] on Envisat, the Compact High Resolution Imaging Spectrometer (CHRIS) on Proba and the Ozone Monitoring Instrument operating in the UV spectral region.
A. Defernez, B. Dupont, Alex Walker, A. Pike, J. Pratlong, M. Fryer, B. Dierickx, P. A. Jerram   +7 more
openaire   +1 more source

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

Spatial-spectral feature classification of hyperspectral image using a pretrained deep convolutional neural network

European Journal of Remote Sensing, 2021
Deep learning based methods have recently been successfully explored in hyperspectral image classification field. However, training a deep learning model still requires a large number of labeled samples, which is usually impractical in hyperspectral ...
Bing Liu, Anzhu Yu, Xibing Zuo, Zhixiang Xue, Kuiliang Gao, Wenyue Guo   +5 more
doaj   +1 more source

Super-resolution of hyperspectral images using local spectral unmixing

, 2014
International audienceFor many remote sensing applications it is preferable to have images with both high spectral and spatial resolutions. On this regards, hyperspectral and multispectral images have complementary characteristics in terms of spectral ...
Bioucas-Dias, José M., Chanussot, Jocelyn, Licciardi, Giorgio,, Simoes, Miguel, Veganzones, Miguel Angel   +4 more
core   +2 more sources

DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES [PDF]

, 2021
Sudipan Saha, Lukas Kondmann, Xiao Xiang Zhu   +2 more
openalex   +1 more source

Single‐Particle Mid‐Infrared Photothermal Imaging Reveals Hidden Heterogeneity in Real‐World Micro‐ and Nanoplastics

Advanced Science, EarlyView.
Mid‐infrared photothermal imaging enables multidimensional profiling of micro‐ and nanoplastics in bottled water. A total of 9.9 × 104 particles L−1 is detected, with 64% in the nanoscale regime. Spectral evolution, including peak narrowing and band shifts, reveals local chain reorganization in polyethylene terephthalate (PET), highlighting intrinsic ...
Xinyu Deng, Yongqing Zhang, Xiaobin Tang, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source