Drone multispectral and thermal images data processing for intelligent agriculture support

Miroslav Y. Tsvetkov

doi:10.1117/12.2679928

17 October 2023 Drone multispectral and thermal images data processing for intelligent agriculture support

Miroslav Y. Tsvetkov

Proceedings Volume 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV; 127271K (2023) https://doi.org/10.1117/12.2679928
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Conference Poster

Abstract

Nowadays, modern technologies are more and more accessible, cheaper and easier to use. Part of them are the multisensor remotely controlled aerial platforms or the so-called “drones”. This paper presents the results of a research for the possibilities of mixing and processing multi-spectral and thermal images from aerial drone sensors for the intelligent agriculture support. Time series of multi-spectral images from the DJI Phantom 4 Multispectral and thermal images from the DJI Mavic 2 Enterprise Advanced over same area are processed. An approach of a new methodology for data fusion of drone multispectral and thermal (LWIR) images data processing for intelligent agriculture support is proposed.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Miroslav Y. Tsvetkov "Drone multispectral and thermal images data processing for intelligent agriculture support", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127271K (17 October 2023); https://doi.org/10.1117/12.2679928

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