A CNN-Based High-Accuracy Registration for Remote Sensing Images

In this paper, a convolutional neural network-based registration framework is proposed for remote sensing to improve the registration accuracy between two remote-sensed images acquired from different times and viewpoints. The proposed framework consists of four stages. In the first stage, key-points...

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Autors principals:	Wooju Lee, Donggyu Sim, Seoung-Jun Oh
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-04-01
Col·lecció:	Remote Sensing
Matèries:	high resolution optical remote sensing imagery image registration convolutional neural network feature matching
Accés en línia:	https://www.mdpi.com/2072-4292/13/8/1482
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