Results 11 to 20 of about 3,908,888 (282)
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
doaj +1 more source
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
openaire +5 more sources
Long signal change-point detection [PDF]
, 2015 The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
Biau, Gérard +2 more
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Detecting Idiographic Personality Change
Journal of Personality Assessment, 2021 Personality changes across the lifespan, but strong evidence regarding the mechanisms of personality change remains elusive. Studies of personality change and life events, for example, suggest that personality is difficult to change. But there are two key issues with assessing personality change. First, most change models optimize population-level, not
Beck, Emorie D, Jackson, Joshua J
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Fréchet change-point detection [PDF]
The Annals of Statistics, 2020 We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data sequence changes abruptly in terms of either its Fr chet mean or Fr chet variance or both. The proposed
Dubey, Paromita, Müller, Hans-Georg
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Graph-Based Change-Point Detection [PDF]
, 2014 We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representing the similarity between observations, is proposed ...
Chen, Hao, Zhang, Nancy
core +3 more sources
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
doaj +1 more source
CHANGE DETECTION IN LAND USE AND LAND COVER OF DISTRICT CHARSADDA PAKISTAN ALONG RIVER KABUL (2010 FLOOD): TAKING ADVANTAGE OF GEOGRAPHIC INFORMATION SYSTEM AND REMOTE SENSING [PDF]
Geological Behavior, 2021 This study aims to quantify land use and land cover changes before and after the 2010 flood in district Charsadda, Pakistan. Advanced geographic information systems (GIS) and remote sensing techniques (RST) evaluate land use and land cover changes.
Misbah Fida +4 more
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Sequential change-point detection when unknown parameters are present in the pre-change distribution [PDF]
, 2006 In the sequential change-point detection literature, most research specifies a required frequency of false alarms at a given pre-change distribution $f_{\theta}$ and tries to minimize the detection delay for every possible post-change distribution $g_ ...
Mei, Yajun
core +2 more sources
Remote Sensing, 2023 Synthetic Aperture Radar (SAR) image change detection aims to detect changes with images of the same area acquired at different times. It has wide applications in environmental monitoring, urban planning and resource management.
Wenjie Shen +6 more
doaj +1 more source