Orthomosaicking Thermal Drone Images of Forests via Simultaneously Acquired RGB Images

Operational forest monitoring often requires fine-detail information in the form of an orthomosaic, created by stitching overlapping nadir images captured by aerial platforms such as drones. RGB drone sensors are commonly used for low-cost, high-resolution imaging that is conducive to effective orth...

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Autors principals:	Rudraksh Kapil, Guillermo Castilla, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nadir Erbilgin, Nilanjan Ray
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-05-01
Col·lecció:	Remote Sensing
Matèries:	orthomosaicking thermal drone data RGB drone data multi-modal image co-registration forest health monitoring gradient descent-based image registration
Accés en línia:	https://www.mdpi.com/2072-4292/15/10/2653
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