يعرض 1 - 10 نتائج من 107 نتيجة بحث عن '"land use and land cover classification"', وقت الاستعلام: 0.94s تنقيح النتائج
  1. 1
    دورية أكاديمية
    In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification

    المؤلفون: Dimitrovski, I., Kitanovski, I., Simidjievski, N., Kocev, D.

    المصدر: IEEE Geoscience and Remote Sensing Letters IEEE Geosci. Remote Sensing Lett. Geoscience and Remote Sensing Letters, IEEE. 21:1-5 2024

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  2. 2
    مؤتمر
    Transfer-Learning On Land Use And Land Cover Classification

    المؤلفون: Carneiro, Gabriel, Teixeira, Ana, Cunha, Antonio, Sousa, Joaquim

    المصدر: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :2918-2921 Jul, 2023

    Relation: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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  3. 3
    دورية أكاديمية
    Classification of multi-spectral data with fine-tuning variants of representative models

    المؤلفون: Lakshmi, T. R. VijayaAff1, IDs1104202316291z_cor1, Reddy, Ch. Venkata Krishna, Kora, Padmavathi, Swaraja, K., Meenakshi, K., Kumari, Ch. Usha, Reddy, L. Pratap

    المصدر: Multimedia Tools and Applications: An International Journal. 83(8):23465-23487

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  4. 4
    مؤتمر
    How Quantum Computing-Friendly Multispectral Data can be?

    المؤلفون: Gupta, Manish K., Beseda, Martin, Gawron, Piotr

    المصدر: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :4153-4156 Jul, 2022

    Relation: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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  5. 5
    دورية أكاديمية
    Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image

    المؤلفون: Yele, Vijaykumar P.Aff1, IDs41870023015761_cor1, Alegavi, Sujata, Sedamkar, R. R.

    المصدر: International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. 16(1):525-534

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  6. 6
    دورية أكاديمية
    A Survey on the Applications of Convolutional Neural Networks for Synthetic Aperture Radar: Recent Advances

    المؤلفون: Oveis, A.H., Giusti, E., Ghio, S., Martorella, M.

    المصدر: IEEE Aerospace and Electronic Systems Magazine IEEE Aerosp. Electron. Syst. Mag. Aerospace and Electronic Systems Magazine, IEEE. 37(5):18-42 May, 2022

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  7. 7
    مؤتمر
    Land Use and Land Cover Classification Using Recurrent Neural Networks with Shared Layered Architecture

    المؤلفون: Vignesh, T., Thyagharajan, K.K., Jeyavathana, R. Beaulah, Kanimozhi, K.V.

    المصدر: 2021 International Conference on Computer Communication and Informatics (ICCCI) Computer Communication and Informatics (ICCCI), 2021 International Conference on. :1-6 Jan, 2021

    Relation: 2021 International Conference on Computer Communication and Informatics (ICCCI)

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  8. 8
    مؤتمر
    Evaluation of Different Approaches of Convolutional Neural Networks for Land Use and Land Cover Classification Based on High Resolution Remote Sensing Images

    المؤلفون: Ma, Jianwei, Sun, Yayong, Deng, Guohui, Huang, Shifeng, Tao, Yiting, Zhu, He, Teng, Qiang, Meng, Xianchao

    المصدر: 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) Signal, Information and Data Processing (ICSIDP), 2019 IEEE International Conference on. :1-4 Dec, 2019

    Relation: 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)

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  9. 9
    مؤتمر
    Water bodies identification from multispectral images using Gabor filter, FCM and canny edge detection methods

    المؤلفون: Vignesh, T., Thyagharajan, K. K.

    المصدر: 2017 International Conference on Information Communication and Embedded Systems (ICICES) Information Communication and Embedded Systems (ICICES), 2017 International Conference on. :1-5 Feb, 2017

    Relation: 2017 International Conference on Information Communication and Embedded Systems (ICICES)

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  10. 10
    دورية أكاديمية
    Improving Land Use and Land Cover Information of Wunbaik Mangrove Area in Myanmar Using U-Net Model with Multisource Remote Sensing Datasets

    المؤلفون: Win Sithu Maung, Satoshi Tsuyuki, Zhiling Guo

    المصدر: Remote Sensing, Vol 16, Iss 1, p 76 (2023)

    مصطلحات موضوعية: land use and land cover classification, U-Net, artificial neural network, PlanetScope, Sentinel-2, mangrove, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/16/1/76; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/7d16a65103c44a538d9051198d3681e1

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