Results 101 to 110 of about 300,366 (322)

Photoswitching Conduction in Framework Materials

open access: yesAdvanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez   +4 more
wiley   +1 more source

POSSIBILITY OF CLOUDLESS OPTICAL REMOTE SENSING IMAGES ACQUISITION STUDY BY USING METEOROLOGICAL SATELLITE OBSERVATIONS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Optical remote sensing images have been widely used in feature interpretation and geo-information extraction. All the fundamental applications of optical remote sensing, are greatly influenced by cloud coverage.
T. Zhang, B. Lei, Y. Hu, K. Liu, Y. Gan
doaj   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim   +8 more
wiley   +1 more source

TSMCF: Transformer-Based SAR and Multispectral Cross-Attention Fusion for Cloud Removal

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Optical remote sensing is heavily affected by clouds, and thus cloud removal is a critical task for obtaining accurate and reliable results. Traditional methods for remote sensing data reconstruction include spectral-based, spatial-based, time-based, and
Hongming Zhu   +7 more
doaj   +1 more source

Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation

open access: yes, 2018
Accurate estimation of the biomass of roadside grasses plays a significant role in applications such as fire-prone region identification. Current solutions heavily depend on field surveys, remote sensing measurements and image processing using reference ...
Chowdhury, Sujan   +3 more
core   +1 more source

A Comprehensive Survey of Optical Remote Sensing Image Segmentation Methods

open access: yesCanadian Journal of Remote Sensing, 2020
Many papers have reviewed remote sensing image segmentation (RSIS) algorithms currently. Those existing surveys are insufficiently exhaustive to sort out the various RSIS methods, it is impossible to comprehensively compare characteristics of different RSIS methods. In addition, the segmentation efficiency and accuracy of the RSIS methods cannot always
Yongzhi Wang   +3 more
openaire   +2 more sources

Hierarchical extraction of landslides from multiresolution remotely sensed optical images [PDF]

open access: yesISPRS Journal of Photogrammetry and Remote Sensing, 2014
The automated detection and mapping of landslides from Very High Resolution (VHR) images present several challenges related to the heterogeneity of landslide sizes, shapes and soil surface characteristics. However, a common geomorphological characteristic of landslides is to be organized with a series of embedded and scaled features.
Kurtz, Camille   +5 more
openaire   +4 more sources

Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore

open access: yesAdvanced Functional Materials, EarlyView.
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul   +8 more
wiley   +1 more source

Deep Fusion Feature Based Object Detection Method for High Resolution Optical Remote Sensing Images

open access: yesApplied Sciences, 2019
With the rapid growth of high-resolution remote sensing image-based applications, one of the fundamental problems in managing the increasing number of remote sensing images is automatic object detection.
Eric Ke Wang   +6 more
doaj   +1 more source

Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters

open access: yes, 2019
Many materials have distinct spectral profiles. This facilitates estimation of the material composition of a scene at each pixel by first acquiring its hyperspectral image, and subsequently filtering it using a bank of spectral profiles.
Sankaranarayanan, Aswin C.   +1 more
core   +1 more source

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