Building change detection for remote sensing images
17 papers with code • 2 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Building change detection for remote sensing images
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Libraries
Use these libraries to find Building change detection for remote sensing images models and implementations
LEVIR-CD
SECOND
BANDON
Most implemented papers
Changer: Feature Interaction is What You Need for Change Detection
likyoo/open-cd
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To verify the effectiveness of MetaChanger, we propose two derived models, ChangerAD and ChangerEx with simple interaction strategies: Aggregation-Distribution (AD) and "exchange".
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
Detecting Building Changes with Off-Nadir Aerial Images
fitzpchao/bandon
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The tilted viewing nature of the off-nadir aerial images brings severe challenges to the building change detection (BCD) problem: the mismatch of the nearby buildings and the semantic ambiguity of the building facades.
Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
SUST-reynole/USSFC-Net
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IEEE Transactions on Geoscience and Remote Sensing 2023
First, the existing multiscale feature fusion methods often use redundant feature extraction and fusion strategies, which often lead to high computational costs and memory usage.
LightCDNet: Lightweight Change Detection Network Based on VHR Images
NightSongs/LightCDNet
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IEEE Geoscience and Remote Sensing Letters 2023
Reducing the model size while maintaining high accuracy is a key challenge in developing lightweight change detection models.
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks.
RS-Mamba for Large Remote Sensing Image Dense Prediction
walking-shadow/Official_Remote_Sensing_Mamba
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RSM is specifically designed to capture the global context of remote sensing images with linear complexity, facilitating the effective processing of large VHR images.
