Results 91 to 100 of about 377,518 (351)

Remote Sensing Information Sciences Research Group, year four [PDF]

open access: yes
The needs of the remote sensing research and application community which will be served by the Earth Observing System (EOS) and space station, including associated polar and co-orbiting platforms are examined.
Estes, John E.   +2 more
core   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu   +5 more
wiley   +1 more source

Applications of TIMS data in agricultural areas and related atmospheric considerations [PDF]

open access: yes
While much of traditional remote sensing in agricultural research was limited to the visible and reflective infrared, advances in thermal infrared remote sensing technology are adding a dimension to digital image analysis of agricultural areas.
Ochoa, M. C., Pelletier, R. E.
core   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Multifeature Alignment and Matching Network for SAR and Optical Image Registration

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Due to the modal disparities between synthetic aperture radar (SAR) and optical images, effectively extracting modality-shared structural features is crucial for achieving accurate registration results.
Xin Hu   +4 more
doaj   +1 more source

Remote Sensing Information Sciences Research Group, Santa Barbara Information Sciences Research Group, year 3 [PDF]

open access: yes
Research continues to focus on improving the type, quantity, and quality of information which can be derived from remotely sensed data. The focus is on remote sensing and application for the Earth Observing System (Eos) and Space Station, including ...
Estes, J. E., Smith, T., Star, J. L.
core   +1 more source

Scene Classification of Remote Sensing Images Using EfficientNetV2 with Coordinate Attention [PDF]

open access: diamond, 2022
Zengkun Wang   +6 more
openalex   +1 more source

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

open access: yesAdvanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth   +8 more
wiley   +1 more source

A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The registration of synthetic aperture radar (SAR) and optical images is significant in obtaining their complementary information, which is a key prerequisite for image fusion. However, the inherent differences between the two modalities pose a challenge
Xuanran Zhao   +4 more
doaj   +1 more source

Image Registration Techniques: A Survey

open access: yes, 2017
Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points.
Nag, Sayan
core   +1 more source

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