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Multitask semantic change detection guided by spatiotemporal semantic interaction [PDF]
Scientific ReportsSemantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and challenging than traditional binary change detection tasks.
Yinqing Wang +4 more
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Spatial-Temporal Semantic Perception Network for Remote Sensing Image Semantic Change Detection
Remote Sensing, 2023 Semantic change detection (SCD) is a challenging task in remote sensing, which aims to locate and identify changes between the bi-temporal images, providing detailed “from-to” change information.
You He +5 more
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Contextualized embeddings for semantic change detection: Lessons learned
Northern European Journal of Language Technology, 2022 We present a qualitative analysis of the (potentially erroneous) outputs of contextualized embedding-based methods for detecting diachronic semantic change.
Andrey Kutuzov +2 more
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SCDVit: Semantic Change Detection Based on Sam-Vit and Semantic Consistency
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, change detection has been a hot research topic in remote sensing. Previous research has focused on binary change detection (BCD), limiting its practical applications.
Ming Chen, Wanshou Jiang
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International Journal of Digital EarthSemantic Change Detection (SCD) identifies binary change information and determines the ‘from-to’ types, revealing not only ‘where’ changes occurred but also ‘what’ the changes are.
Zhenghao Jiang +5 more
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SChanger: Change Detection From a Semantic Change and Spatial Consistency Perspective
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingChange detection is a key task in Earth observation applications. Recently, deep learning methods have demonstrated strong performance and widespread application.
Ziyu Zhou +3 more
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Language-Guided Semantic Clustering for Remote Sensing Change Detection
SensorsExisting learning-based remote sensing change detection (RSCD) commonly uses semantic-agnostic binary masks as supervision, which hinders their ability to distinguish between different semantic types of changes, resulting in a noisy change mask ...
Shenglong Hu +4 more
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Semantic Information Collaboration Network for Semantic Change Detection in Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic change detection (SCD) extends the traditional change detection (CD) task to simultaneously identify the change areas and their corresponding land cover categories in bi-temporal images.
Xiaogang Ning +5 more
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Grammatical Profiling for Semantic Change Detection [PDF]
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021 Semantics, morphology and syntax are strongly interdependent. However, the majority of computational methods for semantic change detection use distributional word representations which encode mostly semantics. We investigate an alternative method, grammatical profiling, based entirely on changes in the morphosyntactic behaviour of words. We demonstrate
Giulianelli, M. +2 more
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International Journal of Applied Earth Observations and GeoinformationInvestigating semantic change detection (SCD) is critical for tracking the evolution of urban and rural conversion. However, existing methods applied to SCD face two pivotal challenges: (1) modeling of semantic correlations among bi-temporal features is ...
Jiang Long +4 more
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