Building change detection for remote sensing images
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Benchmarks
LEVIR-CD
WHU Building Dataset
Most implemented
Remote Sensing Image Change Detection with Transformers
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Papers
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
Disaster events occur around the world and cause significant damage to human life and property. Earth observation (EO) data enables rapid and comprehensive building damage assessment (BDA), an essential capability in the…
AllBuilding change detection for remote sensing imagesBuilding Damage AssessmentChange Detection+3SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection
Change detection (CD) in remote sensing imagery is a crucial task with applications in environmental monitoring, urban development, and disaster management. CD involves utilizing bi-temporal images to identify changes ov…
Building change detection for remote sensing imagesChange DetectionRS-Mamba for Large Remote Sensing Image Dense Prediction
Context modeling is critical for remote sensing image dense prediction tasks. Nowadays, the growing size of very-high-resolution (VHR) remote sensing images poses challenges in effectively modeling context. While transfo…
Building change detection for remote sensing imagesChange DetectionMambaPrediction+2MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods …
Aerial Scene ClassificationBuilding change detection for remote sensing imagesChange DetectionChange detection for remote sensing images+13MaskChanger: A Transformer-Based Model Tailoring Change Detection with Mask Classification
Change detection in multi-temporal remote sensing data enables crucial urban analysis and environmental monitoring applications. However, complex factors like illumination variance and occlusion make robust automated cha…
Building change detection for remote sensing imagesChange DetectionDecoderA New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep learning-based CD models have performed excellently, their further performance improvements are cons…
Building change detection for remote sensing imagesChange DetectionGeneral Knowledge