A CNN-Based Framework for Geometric Alignment of Historical and Satellite Imagery

This paper addresses the difficulty of aligning historical aerial photographs with other archive images or modern satellite imagery, which is crucial for applications such as landscape comparison, shoreline erosion monitoring, and urban expansion evaluation. Traditional approaches, such as SIFT for...

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Autors principals:	Manaswi Kulahara, Abdul Khader Jilani Saudagar, Sahil Tripathi, Md Azizul Hoque
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Aerial image alignment geometric matching convolutional neural networks remote sensing
Accés en línia:	https://ieeexplore.ieee.org/document/11080387/
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