Results 101 to 110 of about 12,728,186 (316)

Development of Navigation Network Models for Indoor Path Planning Using 3D Semantic Point Clouds

open access: yesApplied Sciences
Accurate and efficient path planning in indoor environments relies on high-quality navigation networks that faithfully represent the spatial and semantic structure of the environment.
Jiwei Hou   +2 more
doaj   +1 more source

Biodegradable and Biocompatible Functional Polymers for Biomedical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Biodegradable and biocompatible functional polymers integrate electrical, mechanical, and stimuli‐responsive functionalities while enabling programmed degradation under physiological conditions. This review introduces recent advances in conductive, shape‐memory, self‐healing, photocurable, and adhesive polymer systems, emphasizing material design ...
Won Bae Han   +5 more
wiley   +1 more source

Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance

open access: yes, 2020
Semantic segmentation is an important field for automatic processing of remote sensing image data. Existing algorithms based on Convolution Neural Network (CNN) have made rapid progress, especially the Fully Convolution Network (FCN).
Dehui Xiong   +4 more
core   +1 more source

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

open access: yesAdvanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang   +11 more
wiley   +1 more source

Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints

open access: yes, 2016
Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that multi-sensor devices capture the images at different times, multi-spectral image registration is necessary for data fusion of the images.
Pickering, Mark   +9 more
core   +1 more source

Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images

open access: yes, 2022
Different scales of the objects pose a great challenge for the segmentation of remote sensing images of special scenes. This paper focuses on the problem of large-scale variations of the target objects via a dynamical receptive field of the deep network.
Haoran Zhao   +3 more
core   +1 more source

Is Your Training Data Really Ground Truth? A Quality Assessment of Manual Annotation for Individual Tree Crown Delineation

open access: yesRemote Sensing
For the accurate and automatic mapping of forest stands based on very-high-resolution satellite imagery and digital orthophotos, precise object detection at the individual tree level is necessary.
Janik Steier   +2 more
doaj   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park   +12 more
wiley   +1 more source

Land use and land cover mapping for catchment monitoring and management with remote sensing methods [PDF]

open access: yes, 1998
Remote sensing techniques are evaluated for their use in land cover and land use mapping. Catchment monitoring and management requires detailed and up to date information about the surface runoff, cover and use.
Kobryn, H.T.
core  

Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image

open access: yes, 2023
Image super-resolution (SR) is a significant technique in image processing as it enhances the spatial resolution of images, enabling various downstream applications.
Minyoung Jung   +2 more
core   +1 more source

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