Most object detection methods based on remote sensing images are generally dependent a large amount of high-quality labeled training data. However, due to the slow acquisition cycle and difficulty in labeling, many types data samples scarce. This makes few-shot an urgent necessary research problem. In this paper, we introduce method text semantic fusion relation graph reasoning (TSF-RGR), which...

Deep learning is increasingly popular in remote sensing communities and already successful land cover classification semantic segmentation. However, most studies are limited to the utilization of optical datasets. Despite few attempts applied synthetic aperture radar (SAR) using deep learning, huge potential, especially for very high resolution (VHR) SAR, still underexploited. Taking building s...

Semantic labeling is a powerful transformation technique for proving termination of term rewrite systems. The semantic part is given by a model or a quasi-model of the rewrite rules. A variant of semantic labeling is predictive labeling where the quasi-model condition is only required for the usable rules. In this paper we investigate how semantic and predictive labeling can be used to prove in...

Photogrammetric mapping has moved from its classical objective, which is the process of reconstructing objects from analog frame cameras to more contemporary objectives such as automatic generation of spatial and descriptive information from digital imagery. The advent of Very High Resolution (VHR) imaging satellites opens new challenges and potentialities to geo-spatial mapping community, espe...

Cytokine-induced tyrosine phosphorylation of the transcription factor STAT5 is required for its transcriptional activity. In this article we show that the small dual-specificity phosphatase VHR selectively dephosphorylates IFN-alpha- and beta-activated, tyrosine-phosphorylated STAT5, leading to the subsequent inhibition of STAT5 function. Phosphorylation of VHR at Tyr(138) was required for its ...

Semantic labeling is a powerful transformation technique for proving termination of term rewrite systems. The semantic part is given by a model or a quasi-model of the rewrite rules. A variant of semantic labeling is predictive labeling where the quasi-model condition is only required for the usable rules. In this paper we investigate how semantic and predictive labeling can be used to prove in...