Showing 981 - 1,000 results of 8,276 for search '"sense"', query time: 0.10s Refine Results
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    Self-Organizing Method on Mission-Level Task Allocation of Large-Scale Remote Sensing Satellite Swarm by Yang Jiang, Yuan Gao, Longjiang Yu, Jing Yu, Yuting Li, Hongtao Gao

    Published 2022-01-01
    “…Distributed self-organization and self-management is an ideal way to achieve an autonomous and efficient operation of large-scale remote sensing satellite swarm. A distributed task allocation method based on the improved contract network algorithm is designed, orienting typical mission-level tasks. …”
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  5. 985

    DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images by Naga Surekha Jonnala, Renuka Chowdary Bheemana, Krishna Prakash, Shonak Bansal, Arpit Jain, Vaibhav Pandey, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

    Published 2025-01-01
    “…Abstract Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. …”
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  6. 986

    Characterisation of the optical response to seismic waves of submarine telecommunications cables with distributed and integrated fibre-optic sensing by David M. Fairweather, Max Tamussino, Ali Masoudi, Zitong Feng, Richard Barham, Neil Parkin, David Cornelius, Gilberto Brambilla, Andrew Curtis, Giuseppe Marra

    Published 2024-12-01
    “…The comparison between different seismic acquisition methods is an essential step towards full validation and calibration of the data acquired using novel cable-based sensing techniques. Our experimental data demonstrates broadside sensitivity of integrated optical phase measurements, in contrast to predictions from the prevailing model for this type of sensing. …”
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    Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic by Tian Zhang, Rui Zhao, Zhongsheng Chen

    Published 2020-01-01
    “…The algorithm is applied to remote sensing image stitching to obtain the stitched image with no obvious geometric shift and good edge connection. …”
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    A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

    Published 2025-01-01
    “…Abstract Detecting ship targets in remote sensing images within complex scenarios faces numerous challenges. …”
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  13. 993

    Long-Distance Passive Sensing Tag Design Based on Multi-Source Energy Harvesting and Reflection Amplification by Gang Li, Chong Pan, Bo Wu, Zhiliang Xu, Shihua Li, Yehua Zhang, Yongjun Yang, Zhuohang Zou, Chang Shi, Muze Wang

    Published 2024-12-01
    “…This paper, therefore, presents a long-distance passive RFID sensing tag that integrates multi-source energy harvesting and reflection amplification. …”
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  14. 994

    Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing by Lv Mingjiu, Ma Lei, Ma Jianchao, Chen Wenfeng, Yang Jun, Ma Xiaoyan, Cheng Qi

    Published 2022-05-01
    “…This paper proposes a fast, super‐resolution imaging method employing continuous compressive sensing for sparse‐aperture ISAR. First, the received echo in each range bin is characterised as a linear combination of multiple frequencies shown in a continuous atomic set, established into an atomic norm minimisation (ANM) mode. …”
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    Wetland degradation monitoring using multi-temporal remote sensing data and watershed land degradation index by I. Ridwan, S. Kadir, N. Nurlina

    Published 2024-01-01
    “…(c) land degradation index is readily transferable and applicable to other study areas due to the fact that all of its land degradation indices can be quickly extracted from remotely sensed imagery. (d) land degradation index can be used in a wide variety of contexts, which also accounts for the provision of quantitative predictions with regard to the possibility of land degradation. …”
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