Results 61 to 70 of about 1,381,574 (256)

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li   +5 more
doaj   +1 more source

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

Food Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any, Abid Hassan Arnab, Liza Akter, Yusuf Chowdhury, Md. Hassan Bin Nabi, Md Abu Rayhan, Nazmul Islam, Wahidu Zzaman   +7 more
wiley   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

Remote Sensing Performance Enhancement in Hyperspectral Images [PDF]

Sensors, 2018
Hyperspectral images with hundreds of spectral bands have been proven to yield high performance in material classification. However, despite intensive advancement in hardware, the spatial resolution is still somewhat low, as compared to that of color and multispectral (MS) imagers. In this paper, we aim at presenting some ideas that may further enhance
openaire   +4 more sources

Assessing Ecosystem Isoprene Emissions by Hyperspectral Remote Sensing [PDF]

Remote Sensing, 2018
This study examined the relationship between foliar isoprene emissions, light use efficiency and photochemical reflectance index (PRI) throughout the canopy profile and explored the contribution of xanthophyll cycle pigments versus other carotenoid pigments to the isoprene/PRI relationship.
Manuela Balzarolo, Josep Peñuelas, Iolanda Filella, Miguel Portillo-Estrada, Reinhart Ceulemans   +4 more
openaire   +5 more sources

Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview [PDF]

, 2009
The AHS (Airborne Hyperspectral Scanner) instrument has 80 spectral bands covering the visible and near infrared (VNIR), short wave infrared (SWIR), mid infrared (MIR) and thermal infrared (TIR) spectral range.
Gillespie, A., L. Guanter, Sobrino, JA, M. Romaguera, Z. Su, J. C. Jiménez-Muñoz, Guanter, L, Nerry, Françoise, F. Nerry, Jia, L, Morales, L., Olioso, A, Jiménez-Miñoz, J. C., Guanter, Luis, L. Morales, Mattar, Cristian, V. Hidalgo, Morales, L.M., Romaguera Albentosa, M., Jia, L., Sobrino, J.A., Cuenca, J, Zarco-Tejada, P.J., J. A. Sobrino, Olioso, A., Su, Zhongbo, E. de Miguel, Sobrino, J. A., W. Timmermans, Su, Z., Y. Julien, J. Cuenca, Gillespie, A, L. Balick, Julien, Y, Soria, G., Moreno, José, Balick, L, A. Gieske, Franch, B, C. Mattar, de Miguel, E, Romaguera, M, Sepulcre-Canto, G., Moreno, J., Shen, Q., J. Moreno, Julien, Y., Hidalgo, V., D. Sabol, Timmermans, W., Franch, B., Soria, G, Sabol, D, Zarco-Tejada, P. J., Timmermans, W, Gieske, A.S.M., Q. Shen, A. Gillespie, Shen, Q, Miguel, E., de, Nerry, F., Su, Z, Gillespie, A.R., Romaguera, M., Mattar, C., ... [et al.], Gieske, A., Nerry, F, Balick, L., Guanter, L., Timmermans, W.J., L. Jia, Olioso, Albert, P. J. Zarco-Tejada, Cuenca, J., G. Sepulcre-Cantó, Jimenez-Munoz, J.C., Sepulcre-Canto, G, Su, Z.; id_orcid, Gieske, A, Moreno, J, de Miguel, E., Hidalgo, V, Sabol, D., Morales, L, Soria, E., B. Franch, Jimenez-Munoz, JC, G. Sòria, A. Olioso, Mattar, C, Zarco-Tejada, PJ   +92 more
core   +2 more sources

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

Identification of marine oil spill pollution using hyperspectral combined with thermal infrared remote sensing

Frontiers in Marine Science, 2023
The types of marine oil spill pollution are closely related to source tracing and pollution disposal, which is an important basis for oil spill pollution punishment.
Junfang Yang, Junfang Yang, Junfang Yang, Yabin Hu, Jie Zhang, Jie Zhang, Jie Zhang, Jie Zhang, Yi Ma, Yi Ma, Zhongwei Li, Zongchen Jiang   +11 more
doaj   +1 more source

Hyperspectral remote sensing for light pollution monitoring

Annals of Geophysics, 2006
industries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspectral sensors, namely the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) and the ...
A. Barducci, M. Benvenuti, L. Bonora, F. Castagnoli, D. Guzzi, P. Marcoionni, I. Pippi   +6 more
openaire   +9 more sources

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source