Results 51 to 60 of about 13,513 (217)

Deep Learning Based Land Use Land Cover Classification On Multi-Sensor Remote Sensing Data [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Accurate Land Use Land Cover (LULC) classification is critical to monitor urban expansion, resource planning, and environmental planning. This research investigates the combination of multi-modal remote sensing data—optical (Sentinel-2, PRISMA ...
Advaith C A   +4 more
doaj   +1 more source

3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs

open access: yesAdvanced Engineering Materials, EarlyView.
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu   +4 more
wiley   +1 more source

Automatic Annotation of Airborne Images by Label Propagation Based on a Bayesian-CRF Model

open access: yesRemote Sensing, 2019
The tremendous advances in deep neural networks have demonstrated the superiority of deep learning techniques for applications such as object recognition or image classification. Nevertheless, deep learning-based methods usually require a large amount of
Xiangyu Zhuo   +3 more
doaj   +1 more source

On‐Demand Activation of Thin Alginate Shell Encapsulated Volatile Liquid for Untethered Pneumatic Soft Actuation

open access: yesAdvanced Engineering Materials, EarlyView.
Phase‐changing liquids enable untethered pneumatic actuation in soft robotics but suffer from volatility and storage challenges. This work reports a simple method to encapsulate Novec 7000 within micron‐thin alginate shells via in situ injection and ionic crosslinking.
Rayan A. M. Basodan   +3 more
wiley   +1 more source

An Operational System for Estimating Road Traffic Information from Aerial Images

open access: yesRemote Sensing, 2014
Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyday traffic volumes, there is a risk that they could fail altogether in situations arising from mass events or disasters.
Jens Leitloff   +4 more
doaj   +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

Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction

open access: yesScientific Reports
Considering that ozone is essential to understanding air quality and climate change, this study presents a deep learning method for predicting atmospheric ozone concentrations.
Jiang Yuan   +5 more
doaj   +1 more source

A NEW ALGORITHM FOR VOID FILLING IN A DSM FROM STEREO SATELLITE IMAGES IN URBAN AREAS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Digital Surface Models (DSM) derived from stereo-pair satellite images are the main sources for many Geo-Informatics applications like 3D change detection, object classification and recognition.
Z. Gharib Bafghi   +3 more
doaj   +1 more source

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

DENSE MATCHING COMPARISON BETWEEN CENSUS AND A CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR PLANT RECONSTRUCTION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
3D reconstruction of plants is hard to implement, as the complex leaf distribution highly increases the difficulty level in dense matching. Semi-Global Matching has been successfully applied to recover the depth information of a scene, but may perform ...
Y. Xia   +3 more
doaj   +1 more source

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