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Integrating bi-temporal VHR optical and long-term SAR images for built-up area change detection

International Journal of Digital Earth
With the rapid expansion of urbanization, it is imperative to monitor built-up areas changes to promote the sustainable development of cities, aligning with the goals of Sustainable Development Goal 11(SDG 11).
Haoyang Li +4 more
doaj +1 more source

Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems
Very high-resolution (VHR) remote sensing (RS) image classification is the fundamental task for RS image analysis and understanding. Recently, transformer-based models demonstrated outstanding potential for learning high-order contextual relationships from natural images with general resolution (224x224 pixels) and achieved remarkable results on ...
Yan Zhang +5 more
openaire +3 more sources

Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification

Remote Sensing
High- and very high-resolution (HR, VHR) remote sensing (RS) images can provide comprehensive and intricate spatial information for land cover classification, which is particularly crucial when analyzing complex built-up environments.
Ren Xu +4 more
doaj +1 more source

A multi-label dataset for China's agricultural and rural scenes classification from VHR satellite imagery. [PDF]