Deep Learning-Based Land Classification: A CNN Architecture for High-Accuracy Land Use Mapping

نویسندگان

چکیده

This research paper focuses on the important method of image matching for collecting ground control points and automated precise geo-registration high-resolution satellite imagery. The study aims to improve success rate between incoming images reference chips generated from aerial color ortho-images by using pan-sharpened images. results show that use leads higher rates due similar spectral range spatial resolution. also highlights significance accurate land cover information various geospatial applications such as agriculture, environmental urban management. Traditional methods gathering are time-consuming involve physical labor, making a more efficient practical solution.

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ژورنال

عنوان ژورنال: International Journal For Multidisciplinary Research

سال: 2023

ISSN: ['2582-2160']

DOI: https://doi.org/10.36948/ijfmr.2023.v05i05.6430