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Atmospheric visibility estimation: a review of deep learning approach.

, , , , , и . Multim. Tools Appl., 83 (12): 36261-36286 (апреля 2024)

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Soufiane Rouibia

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Change detection by new DSmT decision rule and ICM with constraints: Application to Argan land cover., , , и . ICMCS, стр. 107-112. IEEE, (2012)SVM and Haralick Features for Classification of High Resolution Satellite Images from Urban Areas., , , , , и . ICISP, том 7340 из Lecture Notes in Computer Science, стр. 17-26. Springer, (2012)Atmospheric visibility estimation: a review of deep learning approach., , , , , и . Multim. Tools Appl., 83 (12): 36261-36286 (апреля 2024)Multisource Fusion/Classification Using ICM and DSmT with New Decision Rule., , , , и . ICISP, том 7340 из Lecture Notes in Computer Science, стр. 56-64. Springer, (2012)Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach., , , , , и . WINCOM, стр. 1-6. IEEE, (2022)Palm Trees Detection from High Spatial Resolution Satellite Imagery Using a New Contextual Classification Method with Constraints., , , , , и . ICISP, том 9680 из Lecture Notes in Computer Science, стр. 283-292. Springer, (2016)SVM Classification of Urban High-Resolution Imagery Using Composite Kernels and Contour Information. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)