RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model
Leveraging the extensive training data from SA-1B, the segment anything model (SAM)
demonstrates remarkable generalization and zero-shot capabilities. However, as a category …
demonstrates remarkable generalization and zero-shot capabilities. However, as a category …
MTP: 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 …
various image interpretation tasks. Pretraining is an active research topic, encompassing …
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
M Wang, K Chen, L Su, C Yan, S Xu, H Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
The intelligent interpretation of buildings plays a significant role in urban planning and
management, macroeconomic analysis, population dynamics, etc. Remote sensing image …
management, macroeconomic analysis, population dynamics, etc. Remote sensing image …
[HTML][HTML] AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images
Z Zhan, H Ren, M Xia, H Lin, X Wang, X Li - Remote Sensing, 2024 - mdpi.com
Change detection is crucial for evaluating land use, land cover changes, and sustainable
development, constituting a significant component of Earth observation tasks. The difficulty …
development, constituting a significant component of Earth observation tasks. The difficulty …
[HTML][HTML] Improving Unsupervised Object-Based Change Detection via Hierarchical Multi-Scale Binary Partition Tree Segmentation: A Case Study in the Yellow River …
Y Du, X He, L Chen, D Wang, W Jiao, Y Liu, G He… - Remote Sensing, 2024 - mdpi.com
Change detection in remote sensing enables identifying alterations in surface characteristics
over time, underpinning diverse applications. However, conventional pixel-based algorithms …
over time, underpinning diverse applications. However, conventional pixel-based algorithms …
Change-Agent: Towards Interactive Comprehensive Change Interpretation and Analysis from Change Detection and Change Captioning
Monitoring changes in the Earth's surface is crucial for understanding natural processes and
human impacts, necessitating precise and comprehensive interpretation methodologies …
human impacts, necessitating precise and comprehensive interpretation methodologies …