Results 1 to 10 of about 1,827 (107)

A comparative study on deep‐learning methods for dense image matching of multi‐angle and multi‐date remote sensing stereo‐images

open access: yesThe Photogrammetric Record, Volume 37, Issue 180, Page 385-409, December 2022., 2022
Among all stereo matching methods End‐to‐End (E2E) learning methods show that they can achieve the lowest and most frequent minimum errors, however, their performance drastically changes across different test‐sites, which indicates poor generalisation capabilities.
Hessah Albanwan, Rongjun Qin
wiley   +1 more source

An automatic workflow for orientation of historical images with large radiometric and geometric differences

open access: yesThe Photogrammetric Record, Volume 36, Issue 174, Page 77-103, June 2021., 2021
A workflow is proposed for a completely automatic orientation of historical terrestrial urban images. For such images, automatic SfM packages often fail due to large radiometric and geometric differences causing challenges with feature extraction and reliable matching.
Ferdinand Maiwald, Hans‐Gerd Maas
wiley   +1 more source

A Bibliometric Analysis and Visualization of Fractional Order Research in China over Two Decades (2001–2020)

open access: yesJournal of Mathematics, Volume 2021, Issue 1, 2021., 2021
Fractional order research has interdisciplinary characteristics and has been widely used in the field of natural sciences. Therefore, fractional order research has become an important area of concern for scholars. This paper used 2854 literatures collected from China National Knowledge Infrastructure (CNKI) database from 2001 to 2020 as the data source
Yunfei Yang   +4 more
wiley   +1 more source

Short wave protocol signals recognition based on Swin-Transformer [PDF]

open access: yes, 2022
Aiming at the problem that it is difficult to identify the protocol to which the signal belongs in the complex SW channel environment, a SW protocol signal recognition algorithm based on Swin-Transformer neural network model was proposed.Firstly, the ...
Di WU   +5 more
core   +1 more source

Intrusion detection model of random attention capsule network based on variable fusion [PDF]

open access: yes, 2020
In order to enhance the accuracy and generalization of the detection model,an intrusion detection model of random attention capsule network with variable fusion was proposed.Through dynamic feature fusion,the model could better capture data features.At ...
Shenglin YIN, Xinglan ZHANG
core   +1 more source

Elevator Group Control Algorithm Research and Control Program Implementation Based on Fuzzy Neural Network with Four-layer Structure [PDF]

open access: yes, 2017
为提高电梯群控系统的载客效率,减少系统运行能耗,提高运行稳定性,在传统模糊神经网络算法的原理上,设计了基于电梯群控模糊规则的四层模糊神经网络算法,确定四层模糊神经网络结构,定义模糊规则,测算隶属数值,推导隶属度函数,并且基于Matlab提出算法检验方案,给出验证结果。最后采用结构化编程思路在PLC中实现控制程序,并提出可变响应闭环的程序实现方式。In order to improve passenger carrying efficiency of the elevator group control ...
潘廷哲   +3 more
core   +1 more source

A Morphological Analyzer for Rice Shape Based on CNN Method [PDF]

open access: yes, 2021
A morphological analyzer for rice shape with gray and convolution processing of collected images was developed in this article based on embedded hardware platform of charge coupled device (CCD) camera and algorithm principle of convolutional neural ...
BU Dong-wei
core   +1 more source

Deep Learning-assisted Accurate Defect Reconstruction Using Ultrasonic Guided Waves:一种基于深度学习的超声导波缺陷重构方法 [PDF]

open access: yes, 2020
Ultrasonic guided wave technology has played a significant role in the field of nondestructive testing due to its advantages of high propagation efficiency and low energy consumption.
Da, Y.   +5 more
core   +1 more source

Research and Development of Automatic Detection Instrument for Stored Grain Fungi [PDF]

open access: yes, 2021
Fungus is one of the primary factors endangering the safety of grain storage.The rapid detection of fungi on stored grain in early stage is an effective measure to prevent and control the fungal multiplication and ensure food security.In 2018,an industry
QI Zhi-hui   +3 more
core   +1 more source

Applying deep learning to right whale photo identification

open access: yesConservation Biology, Volume 33, Issue 3, Page 676-684, June 2019., 2019
Abstract Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time‐consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the ...
Robert Bogucki   +5 more
wiley   +1 more source

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