3 research outputs found
GEO-Bench: Toward Foundation Models for Earth Monitoring
Recent progress in self-supervision has shown that pre-training large neural
networks on vast amounts of unsupervised data can lead to substantial increases
in generalization to downstream tasks. Such models, recently coined foundation
models, have been transformational to the field of natural language processing.
Variants have also been proposed for image data, but their applicability to
remote sensing tasks is limited. To stimulate the development of foundation
models for Earth monitoring, we propose a benchmark comprised of six
classification and six segmentation tasks, which were carefully curated and
adapted to be both relevant to the field and well-suited for model evaluation.
We accompany this benchmark with a robust methodology for evaluating models and
reporting aggregated results to enable a reliable assessment of progress.
Finally, we report results for 20 baselines to gain information about the
performance of existing models. We believe that this benchmark will be a driver
of progress across a variety of Earth monitoring tasks
Design of Microstrip Bandstop Filter with Adjustable Wide Passband Using Folded Open-Circuited Stub Resonators
Asia Pacific Microwave Conference 2009 -- DEC 07-10, 2009 -- Singapore, SINGAPOREWOS: 000279924300227This paper presents a new class of microstrip bandstop resonator filters. The folded open-circuited stub resonator located into microstrip loop structure is investigated using full-wave electromagnetic simulations. The utilization of the novel stub resonator allows a compact bandstop filter configuration to be realized. The proposed filter not only has a compact size, but also has a wider upper passband. Both simulated and measured results are presented to demonstrate the proposed filter.Scientific and Technological Research Council of Turkey (TUBITAK) [107E117]; Turkish Academy of Sciences (TUBA)This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 107E117 and Turkish Academy of Sciences (TUBA)