Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-
modality-dominated remote sensing (RS) applications, especially with an emphasis on …
modality-dominated remote sensing (RS) applications, especially with an emphasis on …
[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation map**
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
Advancing plain vision transformer toward remote sensing foundation model
Large-scale vision foundation models have made significant progress in visual tasks on
natural images, with vision transformers (ViTs) being the primary choice due to their good …
natural images, with vision transformers (ViTs) being the primary choice due to their good …
Brain-inspired remote sensing interpretation: A comprehensive survey
Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …
Through research on brain science, the intelligence of remote sensing algorithms can be …
Building extraction with vision transformer
As an important carrier of human productive activities, the extraction of buildings is not only
essential for urban dynamic monitoring but also necessary for suburban construction …
essential for urban dynamic monitoring but also necessary for suburban construction …
Lsknet: A foundation lightweight backbone for remote sensing
Remote sensing images pose distinct challenges for downstream tasks due to their inherent
complexity. While a considerable amount of research has been dedicated to remote sensing …
complexity. While a considerable amount of research has been dedicated to remote sensing …
Dual-branch sparse self-learning with instance binding augmentation for adversarial detection in remote sensing images
Remote sensing image analysis technology based on neural networks has significantly
facilitated human life. However, adversarial attacks can drastically impair the performance of …
facilitated human life. However, adversarial attacks can drastically impair the performance of …
Sam-assisted remote sensing imagery semantic segmentation with object and boundary constraints
Semantic segmentation of remote sensing imagery plays a pivotal role in extracting precise
information for diverse downstream applications. Recent development of the segment …
information for diverse downstream applications. Recent development of the segment …