A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing

A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing

Abstract Object detection in remote sensing imagery presents challenges due to low resolution, complex backgrounds, occlusions, and scale variations, which are critical in disaster response, environmental monitoring, and surveillance. This study proposes a robust object detection framework integrati...

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Bibliographic Details
Main Authors: Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Super-resolution
High resolution
Object detection
Deep learning
Remote sensing
Online Access:https://doi.org/10.1038/s41598-025-01476-3
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https://doi.org/10.1038/s41598-025-01476-3

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