Results 131 to 140 of about 53,200 (313)
An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications
Cloud cover assessment is crucial for meteorology, Earth observation, and environmental monitoring, providing valuable data for weather forecasting, climate modeling, and remote sensing activities.
Anna Anzalone +2 more
doaj +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Validation and calibration of remote sensing data products on test site DEMMIN.
One of the main research objectives of the working group Thematic Processors and Validation (TPV) of the Remote Sensing Data Centre (DLR-DFD) is the automation of remote sensing data processing.
Fichtelmann, Bernd +7 more
core
Information extraction from remote sensing imagery [PDF]
Xin Huang +3 more
openaire +2 more sources
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik +6 more
wiley +1 more source
Remote sensing of water quality in the Rotorua lakes
The aim of this study was to determine empirical models between Landsat imagery and lake water quality variables (chlorophy11(ch1) a and Secchi depth) to enable water quality variables to be synoptically quantified. These models were then applied to past
Brabyn, Lars +2 more
core
Existing traffic flow modeling approaches typically rely on real-time observations, such as road sensors or GPS trajectories, which constrain their research scope and application scenarios.
Yan Zhang +4 more
doaj +1 more source
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
A model for generating object-based change information from multi-temporal remotely-sensed imagery
As world populations increasingly are clustered in urban areas, so there is a tangible need for accurate mapping of these regions by national mapping agencies.
Bevington, John S.
core

