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   Articles with "building change" as a keyword



MSF-Net: A Multiscale Supervised Fusion Network for Building Change Detection in High-Resolution Remote Sensing Images

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3160163

Abstract: Building change detection is a primary task in the application of remote sensing images, especially in city land resource management and urbanization process assesment. Due to the rich textural features of remote sensing images and… read more here.

Keywords: building change; change; change detection; msf net ... See more keywords

A Siamese Network Combining Multi-Scale Joint Supervision and Improved Consistency Regularization for Weakly Supervised Building Change Detection

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3279863

Abstract: Building change detection (BCD) from remote sensing images is essential in various practical applications. Recently, inspired by the achievement of deep learning in semantic segmentation (SS), methods that treat the BCD problem as a binary… read more here.

Keywords: consistency; change detection; building change; bcd ... See more keywords

SGNet: A Transformer-Based Semantic-Guided Network for Building Change Detection

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3402388

Abstract: Building change detection (BCD) is a widely used method for monitoring human activities. Despite advancements in deep learning (DL) in computer vision, recent DL-based BCD methods still face challenges in extracting discriminative features due to… read more here.

Keywords: change detection; building change; change; semantic guided ... See more keywords

Token-Based Global–Local Framework for Building Change Detection

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3609073

Abstract: Accurate building change detection in high-resolution remote sensing imagery requires models that can simultaneously capture fine-grained geometric detail and semantically meaningful temporal differences. Existing deep learning approaches predominantly rely on convolutional or transformer-based architectures with… read more here.

Keywords: change detection; global local; building change; change ... See more keywords

Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3018858

Abstract: Building change detection from very high-spatial-resolution (VHR) remote sensing images has gained increasing popularity in a variety of applications, such as urban planning and damage assessment. Detecting fine-grained “from–to” changes (change transition from one land… read more here.

Keywords: building change; change detection; detection; fine grained ... See more keywords

PA-Former: Learning Prior-Aware Transformer for Remote Sensing Building Change Detection

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3200396

Abstract: Building change detection (BCD) is significant for urban planning and environmental protection. In view of the interclass similarity and intraclass difference of building changes in complex built-up area, specialized solutions have been introduced in BCD.… read more here.

Keywords: information; change detection; aware transformer; building change ... See more keywords

Iterative Edge Enhancing Framework for Building Change Detection

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3247882

Abstract: The building change detection (BCD) task serves urban planning by monitoring land use. However, due to the complexity of remote-sensing images and high foreground–background similarity, it leads to inaccurate detection of building edge regions. Existing… read more here.

Keywords: detection; change detection; edge; building ... See more keywords

Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding

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recommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3000296

Abstract: Building change detection (CD), important for its application in urban monitoring, can be performed in near real time by comparing prechange and postchange very-high-spatial-resolution (VHR) synthetic-aperture-radar (SAR) images. However, multitemporal VHR SAR images are complex… read more here.

Keywords: sar; vhr sar; sar images; building change ... See more keywords

Exploring Context Alignment and Structure Perception for Building Change Detection

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3540013

Abstract: Automatically monitoring building changes can assist human experts in disaster rescue, urban planning, and resource protection. Consequently, much research focuses on building change detection. Recently, the methods based on deep learning have achieved impressive performance.… read more here.

Keywords: detection; change detection; structure; context alignment ... See more keywords

Enhancing a Building Change Detection Model in Remote Sensing Imagery for Encroachments and Construction on Government Lands in Egypt as a Case Study

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15179407

Abstract: Change detection (CD) in optical remote-sensing images is a critical task for applications such as urban planning, disaster monitoring, and environmental assessment. While UNet-based architecture has demonstrated strong performance in CD tasks, it often struggles… read more here.

Keywords: detection; change detection; enhancing building; remote sensing ... See more keywords

Building Change Detection in Aerial Imagery Using End-to-End Deep Learning Semantic Segmentation Techniques

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recommendations! Published in 2025 at "Buildings"

DOI: 10.3390/buildings15050695

Abstract: Automatic building change detection is essential for updating geospatial data, urban planning, and land use management. The objective of this study is to propose a transformer-based UNet-like framework for end-to-end building change detection, integrating multi-temporal… read more here.

Keywords: end; change detection; imagery; building change ... See more keywords