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DynaNet: A Dynamic Feature Extraction and Multi-Path Attention Fusion Network for Change Detection [PDF]
SensorsExisting change detection methods often struggle with both inadequate feature fusion and interference from background noise when processing bi-temporal remote sensing imagery.
Xue Li +3 more
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Selecting change image for efficient change detection
IET Signal Processing, 2022 Change detection (CD) is a fundamental problem that aims at detecting changed objects from two observations. Previous CNN‐based CD methods detect changes through multi‐scale deep convolutional features extracted from two images.
Rui Huang +5 more
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Tactile Change Detection [PDF]
First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2005 Interest in the use of tactile information displays has grown rapidly in recent years. However, relatively little research has been conducted to explore any cognitive and/or attentional limitations that may be inherent when using the body as a receptor surface for the transmission of information.
Alberto Gallace +2 more
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Direction-dominated change vector analysis for forest change detection
International Journal of Applied Earth Observations and Geoinformation, 2021 As forest is under increasing pressure, the rapid conversion or degradation of forest has attracted strong concern. Obtaining quantitative information of forest change based on satellite imagery becomes necessary and urgent, especially the detailed “from-
Pengfeng Xiao +4 more
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CAAI Transactions on Intelligence Technology, 2023 Recently, ground coverings change detection (CD) driven by bitemporal hyperspectral images (HSIs) has become a hot topic in the remote sensing community. There are two challenges in the HSI‐CD task: (1) attribute feature representation of pixel pairs and
Chengle Zhou +5 more
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SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images
European Journal of Remote Sensing, 2022 Change detection is a core issue in the study of global change. Inspired by recent success of the UNet3+ architecture originally designed for image semantic segmentation, in this article we proposed a densely connected siamese network for change ...
Bo Zhao +4 more
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Real-Time Algorithms for the Detection of Changes in the Variance of Video Content Popularity
IEEE Access, 2020 As video content is responsible for more than 70% of the global IP traffic, related resource allocation approaches, e.g., using content caching, become increasingly important.
Sotiris Skaperas +2 more
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Quickest Change Detection [PDF]
, 2014 The problem of detecting changes in the statistical properties of a stochastic system and time series arises in various branches of science and engineering. It has a wide spectrum of important applications ranging from machine monitoring to biomedical signal processing.
Venugopal V. Veeravalli, Taposh Banerjee
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Detecting Unidentified Changes
PLoS ONE, 2014 Does becoming aware of a change to a purely visual stimulus necessarily cause the observer to be able to identify or localise the change or can change detection occur in the absence of identification or localisation? Several theories of visual awareness stress that we are aware of more than just the few objects to which we attend.
Howe, PDL, Webb, ME
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Remote Sensing, 2023 Land use and land cover change constitute a significant driver of land degradation worldwide, and machine-learning algorithms are providing new opportunities for effectively classifying land use and land cover changes over time.
Charles Matyukira, Paidamwoyo Mhangara
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