Results 101 to 110 of about 8,406 (209)

Hyperspectral Remote Sensing in North Africa

4th EAGE North African/Mediterranean Petroleum and Geosciences Conference and Exhibition Tunis 2009, 2009
Hyperspectral remote sensing is a technique that uses reflected solar radiation to determine the spectral response within a determined area (pixel) on the surface of the earth. Airborne hyperspectral techniques can aid in the location of macroseeps by direct detection and may be used indirectly to locate microseeps.
openaire   +2 more sources

Aquatic reflectance derived from Sentinel‐2 Multispectral Imager data for inland waters in the conterminous United States

Limnology and Oceanography Letters, Volume 11, Issue 2, March 2026.
Abstract Satellite‐based earth observation is a robust tool for tracking change in ecosystems. While terrestrially focused applications of remote sensing have empowered wide adoption for research and management, remote sensing of inland aquatic ecosystems remains comparably nascent.
Scott D. Ducar, Tyler V. King, Michael F. Meyer, Stephen A Hundt, Grady P. Ball, Konrad C. Hafen, Dulcinea M. Avouris, Brendan F. Wakefield, Victoria G. Stengel, Quinten Vanhellemont   +9 more
wiley   +1 more source

Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification

Remote Sensing
Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang, Yi-Mei Kuo, Kenneth Yeonkong Ma   +2 more
doaj   +1 more source

Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean. [PDF]

Plant Phenomics, 2023
Wong CY, Gilbert ME, Pierce MA, Parker TA, Palkovic A, Gepts P, Magney TS, Buckley TN.   +7 more
europepmc   +1 more source

Exploiting Scattering‐Based Point Spread Functions for Snapshot 5D and Modality‐Switchable Lensless Imaging

Laser &Photonics Reviews, Volume 20, Issue 5, 6 March 2026.
This paper demonstrates a snapshot 5D and modality‐switchable lensless camera (Diffuser‐mCam), which can encode 2D intensity, multi‐spectral, polarization, and time information into a monochromatic raw data, and subsequently decode it using the compressed sensing algorithm at the sampling rate of 2.5% per channel.
Ze Zheng, Baolei Liu, Jiaqi Song, Muchen Zhu, Chi Han, Yao Wang, Menghan Tian, Ying Xiong, Zhaohua Yang, Xiaolan Zhong, David McGloin, Fan Wang   +11 more
wiley   +1 more source

A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images. [PDF]

Sensors (Basel), 2022
Chen H, Chen Y, Wang Q, Chen T, Zhao H.
europepmc   +1 more source

A Hybrid Encryption Framework for Secure and Real‐Time Vehicular Communications

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT The rapid expansion of Vehicular Ad Hoc Networks (VANETs) has amplified concerns regarding data security, integrity, and privacy. This paper presents SECURIDE, a Secure Intelligent Data Exchange for Connected Vehicles that provides a comprehensive encryption–decryption framework for safeguarding multimedia data and communication channels in ...
Muhammad Usama, Muhammad Usman Hadi
wiley   +1 more source

Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model. [PDF]

Sensors (Basel), 2022
Li J, Wang H, Zhang A, Liu Y.
europepmc   +1 more source

Visible‐Shortwave Infrared (VSWIR) Spectral Parameters for the Lunar Trailblazer High‐Resolution Volatiles and Minerals Moon Mapper (HVM3)

Earth and Space Science, Volume 13, Issue 3, March 2026.
Abstract The Lunar Trailblazer smallsat mission High‐resolution Volatiles and Minerals Moon Mapper (HVM3) science instrument was designed to acquire targeted spectral image cubes of the lunar surface at visible to shortwave infrared (VSWIR) wavelengths (0.6–3.6 μm) in an effort to understand the distribution, abundance, and form (OH, H2O, ice) of lunar
Angela M. Dapremont, Rachel L. Klima, Kierra A. Wilk, Bethany L. Ehlmann, Christopher S. Edwards, Kerri L. Donaldson Hanna, Valeriya Kachmar, Laura Lee, Jasper K. Miura, Carlé M. Pieters, Erin Pimentel, Katherine A. Shirley, David R. Thompson, Isabelle Adamczewski   +13 more
wiley   +1 more source

Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods. [PDF]

Front Plant Sci, 2023
Zhang M, Chen T, Gu X, Chen D, Wang C, Wu W, Zhu Q, Zhao C.   +7 more
europepmc   +1 more source